Financial Risk Disclosures in the Financial Statements of Energy Sector Companies

Introduction

The functioning of efficient capital markets depends, in substantial part, upon the quality and comparability of information disclosed by listed companies to investors, creditors, and other stakeholders. Among the categories of information that have attracted the greatest regulatory and scholarly attention since the global financial crisis of 2008, financial risk disclosures occupy a position of particular prominence. The recognition that inadequate transparency regarding credit, market, and liquidity exposures contributed materially to the systemic failures of that period prompted a far-reaching reconfiguration of the international disclosure framework, most notably through the revision and subsequent amendment of IFRS 7 Financial Instruments: Disclosures. The standard now requires reporting entities to provide narrative and quantitative information enabling users of financial statements to evaluate the nature, extent, and management of risks arising from financial instruments. Notwithstanding these regulatory advances, significant questions remain concerning the degree to which compliance with the letter of the standard translates into disclosure that is genuinely useful for investment and credit decisions, a distinction that has been characterised in the academic literature as the gap between formal and substantive transparency.

Within the landscape of industries subject to IFRS 7, the energy sector presents a particularly acute and analytically distinctive case. Energy companies operate across complex, capital-intensive value chains that expose them simultaneously to commodity price volatility, foreign exchange fluctuations, counterparty credit risk on large bilateral and exchange-traded contracts, and liquidity pressures arising from margin call obligations. These exposures do not map neatly onto the disclosure templates implicitly assumed by IFRS 7, which was designed with financial institutions and broadly diversified industrial companies in mind rather than with the specific risk architecture of commodity-intensive utilities and oil and gas producers. The period from 2021 to 2022, during which European energy markets experienced extreme price dislocations driven by post-pandemic demand recovery and the geopolitical shock of the Russian invasion of Ukraine, brought these structural peculiarities into sharp relief. Wholesale electricity prices reached levels that rendered margin call obligations on hedging portfolios existential in character for some market participants, exposing a dimension of liquidity risk — what has been termed margin call liquidity risk — that existing IFRS 7 maturity analysis requirements were ill-equipped to capture. Simultaneously, the progressive tightening of the European Union's climate governance architecture, culminating in the adoption of the Corporate Sustainability Reporting Directive and its associated European Sustainability Reporting Standards, has introduced disclosure obligations regarding climate transition risk and stranded asset exposure that intersect with, yet remain formally separate from, the IFRS 7 framework. The resulting regulatory landscape is one of considerable complexity and, in certain respects, incoherence.

The present thesis is motivated by the proposition that a rigorous, empirically grounded examination of financial risk disclosure practices among listed European energy companies can contribute meaningfully to three interconnected areas of inquiry. The first objective is theoretical in character: to define and classify the categories of financial risk to which energy sector companies are exposed, to situate that classification within the regulatory framework established by IFRS 7, IFRS 9, IAS 32, and IAS 1, and to establish a conceptually coherent framework for evaluating disclosure quality. The second objective is analytical: to characterise the sector-specific risk profile of energy companies in sufficient depth to identify where the demands placed upon financial risk disclosure are most acute and where the current standard fails to provide adequate guidance. The third objective is empirical: to measure and compare the quality of financial risk disclosures across a purposively selected sample of eight European Union-listed energy companies over the period from 2020 to 2023, thereby generating evidence regarding the determinants of variation in disclosure quality and the extent to which the energy crisis of 2021 to 2022 influenced reporting behaviour. Taken together, these objectives are intended to produce findings that are of relevance both to the academic study of financial reporting and to the practical work of standard-setters, regulators, and preparers.

The primary research method employed in this thesis is content analysis of annual financial statements and their accompanying notes, conducted with reference to a researcher-constructed instrument designated the Disclosure Quality Index. The index is structured along four dimensions — completeness, specificity, quantitative depth, and forward-looking orientation — each of which is operationalised through a set of evaluative criteria derived from the theoretical and regulatory framework established in the first chapter. This approach was preferred over reliance upon pre-existing indices on the grounds that the distinctive risk profile of the energy sector warrants a bespoke measurement instrument sensitive to its particular disclosure demands. The sample was constructed through purposive sampling, with selection criteria designed to ensure representation across the principal segments of the energy industry and across the major jurisdictions of the European Union. Eight companies were ultimately selected for analysis: three integrated utilities headquartered in Germany, France, and the Netherlands respectively; two renewable energy producers operating primarily in Italy and Poland; two oil and gas companies domiciled in Germany and France; and one transmission system operator based in the Netherlands. Annual reports for the financial years 2020 through 2023 were examined, producing a panel of thirty-two firm-year observations sufficient to support both longitudinal and cross-sectional analysis. The period was deliberately chosen to encompass both the immediate aftermath of the initial pandemic shock and the full duration of the 2021 to 2022 energy crisis, thereby enabling an assessment of how extraordinary market conditions influenced disclosure behaviour.

The thesis is structured in three substantive chapters, preceded by this introduction and followed by a conclusion. The first chapter establishes the theoretical and regulatory foundations of the study, defining the principal categories of financial risk, examining the disclosure obligations imposed by IFRS 7 and its related standards, and developing the six-dimensional framework for disclosure quality — encompassing relevance, specificity, comparability, completeness, transparency of methodology, and faithful representation — that underpins both the analytical and empirical components of the research. The second chapter characterises the financial risk profile of the energy sector in depth, tracing the distinctive exposures that arise at each stage of the upstream, midstream, and downstream value chain and examining how commodity price risk, foreign exchange risk, counterparty credit risk, liquidity risk, and the emerging category of climate transition and regulatory risk each intersect with the requirements of IFRS 7 in ways that generate both compliance challenges and disclosure gaps. The third chapter presents the empirical analysis, reporting the results of the content analysis, the Disclosure Quality Index scores for each company and year, and the principal findings regarding cross-sectional and longitudinal variation in disclosure quality.

The research delivers several findings of substantive significance. It is established that mean disclosure quality, as measured by the Disclosure Quality Index, stands at 0.61 on a normalised scale, with individual company scores ranging from 0.42 to 0.79, indicating considerable heterogeneity across the sample that is not fully explained by segment affiliation alone. Integrated utilities achieve the highest mean scores, reflecting the resources and regulatory scrutiny that characterise the largest and most complex entities in the sector, while oil and gas companies demonstrate particular strength in the disclosure of commodity price sensitivity. Renewable energy producers exhibit systematic weakness in the quantitative disclosure of credit risk, a finding that is attributable in part to the relative novelty and still-evolving risk management frameworks of this segment. The energy crisis of 2021 to 2022 is found to have triggered a temporary increase in the volume of risk disclosure, particularly in relation to liquidity and margin call risk, without a corresponding improvement in the analytical utility of the information provided; the increase in volume was largely driven by boilerplate expansion rather than by meaningful enhancement of specificity or quantitative depth. Enforcement jurisdiction is identified as a significant explanatory variable for cross-country variation, with companies subject to German, French, and Dutch regulators consistently outperforming those subject to Italian and Polish oversight, a pattern consistent with broader evidence on the role of enforcement intensity in determining IFRS compliance quality.

On the basis of these findings, three recommendations are advanced for consideration by standard-setters and regulators. It is proposed that the International Accounting Standards Board should develop supplementary guidance on commodity price sensitivity disclosures tailored to the energy sector, addressing in particular the application of Value-at-Risk methodologies, the own-use exemption under IFRS 9, and the disclosure of energy-specific hedging strategies. It is further proposed that the European Securities and Markets Authority should issue sector-specific guidance on liquidity risk disclosure for capital-intensive companies, with particular attention to the treatment of margin call obligations and the limitations of maturity analysis in capturing tail liquidity risk. Finally, it is argued that the standard-setting bodies responsible for IFRS 7 and the European Sustainability Reporting Standards should undertake a coordinated integration of financial risk and climate transition risk disclosure requirements, so as to eliminate the current incoherence that permits companies to report material stranded asset and regulatory risk within sustainability frameworks without any corresponding obligation to reflect those exposures in their financial instrument disclosures. These recommendations are grounded in the empirical evidence presented in the thesis and informed by the theoretical analysis of the regulatory architecture that supports it.

It is acknowledged that the study is subject to certain limitations that should be borne in mind when interpreting its conclusions. The sample, while purposively constructed and analytically appropriate, comprises eight companies and does not claim statistical representativeness of the European energy sector as a whole. The Disclosure Quality Index, notwithstanding the care taken in its construction and the consistency with which it was applied, incorporates judgements regarding the relative weighting of its component dimensions that reasonable analysts might evaluate differently. The period of analysis, while selected with deliberate attention to its analytical richness, remains relatively brief in the context of structural trends such as the energy transition, whose full disclosure implications are unlikely to be apparent within a four-year window. These limitations are noted not to diminish the contributions of the research but to situate them appropriately within the broader scholarly and regulatory conversation to which this thesis seeks to contribute.

Chapter 1. Theoretical Foundations of Financial Risk Disclosure in Corporate Reporting

1.1. The Concept and Classification of Financial Risk in Corporate Finance

Financial risk constitutes one of the central constructs in contemporary corporate finance, encompassing the range of adverse outcomes that may affect the financial position, performance, and value of an enterprise as a result of movements in market variables, changes in counterparty behaviour, or constraints on the availability of funding. The term „financial risk” is to be distinguished from the broader concept of uncertainty, as the latter refers to states of the world for which no probability distribution can meaningfully be assigned, whereas risk, in the financial sense, pertains to outcomes whose probability can, at least in principle, be estimated or modelled. This distinction carries significant practical consequences for how firms identify, measure, and disclose their exposures. In the context of listed companies subject to international financial reporting standards, the operational definition of financial risk is bounded by the scope of International Financial Reporting Standard 7 (IFRS 7), which addresses risks arising from financial instruments, thereby excluding insurance risk and physical commodity price risk where such risk does not arise from a financial instrument.

The classification of financial risk in academic literature and regulatory frameworks has converged around three primary categories, which are consistently recognised across both theoretical treatments and international standards. Market risk denotes the possibility that the fair value of, or cash flows from, a financial instrument will fluctuate as a result of changes in market prices, encompassing interest rate risk, foreign currency risk, and other price risk such as that arising from equity securities or commodity derivatives. Credit risk refers to the possibility that a counterparty will fail to fulfil a contractual obligation, resulting in a financial loss to the entity; this category further encompasses counterparty risk at the transaction level, settlement risk, and concentration risk arising from exposure to a single obligor or group of related obligors. Liquidity risk, the third primary category, concerns the possibility that an entity will encounter difficulty in meeting obligations associated with financial liabilities, either because assets cannot be converted into cash at their carrying value within a required timeframe, or because the entity is unable to raise funding at acceptable terms. As observed in the context of enterprise risk management more broadly, risk typologies are frequently organised along two principal dimensions: the degree of systematic, market-wide exposure and the degree to which risk is specific to the individual firm or sector ^{[3, s. 49]}.

The interdependencies among the three principal categories of financial risk constitute a further dimension of complexity that is of direct relevance to disclosure practice. Under conditions of market stress, liquidity risk and credit risk may reinforce one another in a self-amplifying manner: a deterioration in counterparty creditworthiness may impair an entity's ability to roll over short-term funding, which in turn may compel asset sales at distressed prices, further eroding credit quality. Market risk exposures may similarly interact with liquidity constraints when derivative positions require margin payments that cannot be met from existing resources. As noted in the context of enterprise risk management more broadly, systematic information flows are indispensable for the identification, quantification, and management of such interdependencies, and accounting systems play a fundamental role in supplying the data upon which risk assessments depend ^{[3, s. 56]}. The implications of the structural tension between a category-by-category disclosure architecture and the holistic, interconnected nature of financial risk are examined in the sections that follow.

1.2. Regulatory Framework Governing Financial Risk Disclosures

The architecture of mandatory financial risk disclosure for listed companies within the European Union is constituted by a layered system of international accounting standards, European directives, and supervisory guidance, the interaction of which creates both obligations and interpretive latitude for reporting entities. At the apex of this hierarchy, for entities that prepare consolidated financial statements in accordance with international standards, stands IFRS 7 Financial Instruments: Disclosures, issued by the International Accounting Standards Board (IASB) and endorsed for use within the European Union. IFRS 7 establishes the foundational requirement that entities disclose information enabling users of financial statements to evaluate the nature and extent of risks arising from financial instruments to which the entity is exposed at the reporting date, and the manner in which those risks are managed. This dual objective — communicating the nature of exposure and the management response — reflects the standard's roots in the conceptual literature on disclosure and risk communication, and distinguishes it from purely technical measurement standards.

The specific requirements of IFRS 7 are structured around two broad categories of disclosure that, taken together, are intended to provide a comprehensive picture of an entity's risk profile. Qualitative disclosures, addressed principally in paragraphs 31 to 35 of the standard, require a description of exposures and how they arise, the entity's objectives, policies, and processes for managing risk, and the methods used to measure risk. Quantitative disclosures, addressed in paragraphs 7 to 30 and supplemented by extensive application guidance, require summary data about the extent of exposure derived from financial instruments, including maximum credit exposure, contractual maturity analyses for liquidity risk, and sensitivity analyses for market risk. The sensitivity analysis requirements, set out in paragraphs 40 to 42, are particularly notable for the discretion they afford to reporting entities: companies may apply either a simple parametric approach — disclosing the effect on profit or equity of a reasonably possible change in a risk variable — or a more sophisticated model such as Value at Risk (VaR), provided that the limitations of such models are disclosed. This flexibility is simultaneously a strength of the principles-based approach and a source of the comparability problems that are examined in Section 1.4.

IFRS 7 does not operate in isolation, but functions in close interaction with IFRS 9 Financial Instruments, which governs the classification, measurement, and impairment of financial assets and liabilities. The expected credit loss (ECL) model introduced by IFRS 9, which replaced the incurred loss model of International Accounting Standard 39 (IAS 39), significantly expanded the scope of credit risk disclosures required under IFRS 7, as entities must now disclose information about how ECL has been determined, the assumptions underlying staging decisions, and the sensitivity of loss allowances to changes in key parameters. This interaction between measurement and disclosure requirements means that the quality of credit risk disclosures is partly a function of the rigour with which the ECL model has been applied, creating a link between accounting policy choices and disclosure outcomes that auditors and supervisors must carefully consider. As observed in the context of corporate accounting oversight more broadly, the information produced by accounting systems is indispensable to risk identification, the estimation of probabilities, and the construction of early warning mechanisms within organisations ^{[3, s. 57]}.

The European Union's Non-Financial Reporting Directive (NFRD) and its successor, the Corporate Sustainability Reporting Directive (CSRD), extend the disclosure framework beyond financial instruments to encompass a broader range of risks, including environmental, social, and governance (ESG) risks that may carry material financial consequences for reporting entities. While the NFRD and CSRD operate through a distinct legal basis from IFRS 7, the two frameworks are increasingly regarded as complementary: financial risk disclosures under IFRS 7 capture the quantitative consequences of exposures already crystallised within financial instruments, while sustainability reporting under the CSRD provides the contextual narrative concerning the sources and drivers of those exposures. As noted in research on the financial risks of unsustainability in a corporate governance context, political and regulatory risks associated with transitions to more sustainable modes of economic activity may be systematically underestimated when considered in isolation from other dimensions of financial risk ^{[4, s. 34]}. The European Securities and Markets Authority (ESMA) plays an important coordinating role in this architecture through the enforcement of disclosure requirements and the issuance of guidelines and opinions that shape interpretive practice across member states.

• IFRS 7 qualitative disclosures — description of risk exposures and their origins, risk management objectives, policies and processes, and measurement methods (paragraphs 31–35)
• IFRS 7 quantitative disclosures — maximum credit exposure, contractual maturity analyses for liquidity risk, and market risk sensitivity analyses (paragraphs 7–30 and 40–42)
• IFRS 9 interaction — ECL model disclosures, staging criteria and their sensitivity, and the linkage between measurement rigour and disclosure quality
• NFRD and CSRD requirements — non-financial risk disclosures extending to ESG exposures with material financial consequences for the reporting entity
• ESMA enforcement and supervisory guidance — expectations for consistent application across EU member states and supervisory response to disclosure deficiencies

1.3. The Role of Risk Disclosures in Reducing Information Asymmetry

The theoretical justification for mandatory financial risk disclosure is grounded in the economics of information, which identifies information asymmetry — the differential between what insiders know about the risk profile of the firm and what outside stakeholders are able to observe — as a fundamental market imperfection with consequences for resource allocation, the cost of capital, and the broader efficiency of capital markets. In corporate finance, this problem arises when investors and creditors cannot independently verify the risk exposures of a firm, and are therefore compelled to price that uncertainty into the cost of capital they require. Risk disclosures serve, in this framework, to transfer information from the informed party — management — to the less-informed party — the market — thereby reducing the premium that investors demand to compensate for informational disadvantage. The resulting reduction in the cost of capital represents a direct economic benefit of high-quality disclosure that accrues both to the disclosing entity and to the capital market as a whole.

Agency theory provides a complementary theoretical lens through which the role of risk disclosures may be analysed. The relationship between shareholders, as principals, and management, as agents, is characterised by a fundamental conflict of interest: management may not always act in the interests of shareholders, and may have incentives to conceal unfavourable risk exposures, to engage in excessive risk-taking where compensation structures reward upside asymmetrically, or to defer the disclosure of deteriorating credit quality in order to preserve access to funding. It has been established in the foundational theoretical literature that shareholders require protection because management may not always act in the interests of the corporation's owners, and that boards of directors assume an oversight role designed to minimise the agency costs arising from this conflict ^[1]. Risk disclosures, in this context, function as a mechanism through which the board exercises its oversight responsibilities with respect to management's risk-taking behaviour, and through which external stakeholders are provided with the information necessary to discipline management through the capital market. The audit committee has been identified as a particularly important institutional mechanism for monitoring the financial reporting and disclosure process, given its mandate to ensure corporate accountability and transparent reporting .

The empirical literature has generated substantial evidence that the quality and completeness of risk disclosures are associated with reductions in observable indicators of information asymmetry. Research examining bid-ask spreads in secondary markets has found that companies providing more detailed and entity-specific risk disclosures tend to exhibit narrower spreads, consistent with the view that disclosure reduces the adverse selection component of transaction costs borne by uninformed traders. Studies of analyst forecast dispersion have similarly documented that higher-quality disclosures are associated with greater convergence in analyst estimates, suggesting that disclosure reduces the heterogeneity of private information held by market participants. The relationship between disclosure quality and the cost of equity capital has been theorised on the basis that informational asymmetry between management and investors creates a wedge between the true value of the firm and its market valuation, and that both voluntary and mandatory disclosures serve to narrow this wedge . As noted in research on accounting in the context of corporate oversight, the association between disclosure quality and the cost of capital has also attracted the sustained attention of institutional investors, who have sought to incorporate systematic assessment of disclosure quality into their valuation and engagement processes ^{[5, s. 228]}.

The limits of voluntary disclosure as a mechanism for overcoming information asymmetry have received considerable attention in both theoretical and empirical work. The classical argument holds that, in a world of costless and credible disclosure, firms with favourable risk profiles would disclose in order to distinguish themselves, and the resulting unravelling logic would lead all firms to disclose fully. This reasoning, however, breaks down in the presence of proprietary costs — the competitive disadvantage that may arise from revealing sensitive risk management strategies or hedging positions — litigation risk associated with forward-looking statements, and the preparation costs of producing high-quality quantitative disclosures. These factors provide the primary rationale for mandatory disclosure requirements, which internalise social benefits of disclosure that individual firms, acting in their narrow interest, would not fully incorporate into their voluntary disclosure decisions. In the energy sector, proprietary considerations are particularly salient, as detailed disclosures of commodity price hedging programmes may reveal commercially sensitive positions to counterparties and competitors, creating an inherent tension between the transparency demanded by capital markets and the confidentiality requirements of competitive strategy.

1.4. Quality Criteria for Risk Disclosures in Financial Statements

The evaluation of financial risk disclosures requires a multi-dimensional quality framework that extends well beyond the binary question of whether mandatory requirements have been formally satisfied. Even among entities that satisfy the technical requirements of IFRS 7, substantial variation has been observed in the depth, specificity, and analytical rigour of the information provided, such that compliance is neither necessary nor sufficient as an indicator of disclosure quality from the perspective of financial statement users. The conceptual framework published by the International Accounting Standards Board identifies two fundamental qualitative characteristics of useful financial information — relevance and faithful representation — and four enhancing characteristics: comparability, verifiability, timeliness, and understandability. These characteristics, formulated in the context of financial statements as a whole, can be applied specifically to risk disclosures to yield a set of operational quality criteria that are grounded in the same conceptual foundation as the standards from which disclosure obligations derive.

Relevance, applied to the domain of risk disclosures, requires that disclosed information possess predictive value, confirmatory value, or both, for the financial decisions of the users to whom financial statements are addressed. A market risk disclosure satisfies this criterion if it enables users to form or revise their expectations about the future cash flows, financial position, or risk-adjusted value of the entity. This requirement implies that boilerplate language — standardised, generic text that could apply to any entity in the industry without modification — fails the relevance test, because it conveys no entity-specific information capable of altering a user's assessment of risk exposure. The phenomenon of boilerplate disclosure has been extensively documented in empirical research and represents one of the most persistent challenges in financial risk communication. As observed in research on non-financial disclosure practices in analogous governance contexts, effective institutional oversight — particularly through audit committee mechanisms — is positively associated with the quality of financial disclosure and plays an important moderating role in determining whether disclosures are substantively informative or merely ceremonially compliant ^{[2, s. 209]}.

Specificity and comparability constitute further quality dimensions of particular importance for any empirical assessment of risk disclosure practices across a sample of reporting entities. Specificity denotes the degree to which a disclosure is tailored to the entity's actual risk profile, incorporating company-specific data, quantified sensitivities, and analytical approaches that reflect the entity's particular business model and financial instrument portfolio, rather than reproducing generic statements applicable to all firms in a sector. Comparability, conversely, requires that disclosures be prepared in a manner enabling users to identify meaningful similarities and differences between entities over time and across the reporting population. These two criteria stand in partial tension: highly entity-specific disclosures may be difficult to compare across firms, while overly standardised formats may constrain the ability of entities to communicate unique exposures accurately. As observed in research on structured disclosure practices in analogous non-financial reporting contexts, the effectiveness of a disclosure framework in enabling stakeholder assessment depends critically on the consistency of criteria and methodologies applied across entities in the reporting population ^{[2, s. 204]}.

The operationalisation of disclosure quality criteria for empirical research purposes has been developed through a body of methodological scholarship in which content analysis serves as the primary instrument. This approach involves the systematic coding of narrative and quantitative disclosures against a predefined scoring rubric, enabling the construction of composite quality indices that facilitate structured comparison across entities and over time. The validity of content analysis as a disclosure quality measurement tool depends on the precision with which the scoring dimensions are defined, the consistency with which they are applied, and the degree to which they capture both the formal presence of required disclosures and the substantive depth of the information provided. The quality dimensions set out in Table 1.2 above inform the analytical framework applied in Chapter 3 of this thesis, where they are operationalised as a structured scoring instrument for the assessment of risk disclosure practice across the selected sample of energy sector companies. The framework is designed to capture simultaneously the formal dimension of compliance — whether required disclosures are present — and the substantive dimension of quality — whether those disclosures provide information genuinely useful to the range of stakeholders who rely on corporate financial statements.

• Relevance — the extent to which disclosed information has predictive or confirmatory value for users assessing the entity's financial risk profile and future cash flow prospects
• Specificity — the degree to which disclosures are tailored to the entity's actual exposures, rather than consisting of generic, sector-wide language applicable to all reporting entities
• Comparability — the consistency of methodologies and formats across entities and reporting periods, enabling meaningful benchmarking and trend analysis
• Completeness — the coverage of all material risk categories and sub-types, including emerging risks not yet fully reflected in established disclosure templates
• Transparency of methodology — the clarity with which the assumptions, models, and limitations underlying quantitative risk disclosures are communicated to users
• Faithful representation — the absence of systematic bias in the selection and presentation of risk information, including adequate and non-evasive treatment of unfavourable exposures

Chapter 2. Specificity of Financial Risk in the Energy Sector

2.1. Structure and Characteristics of the Energy Sector as an Operating Environment

The energy sector constitutes one of the most capital-intensive and structurally complex segments of modern economies. Its organizational architecture is conventionally delineated across three principal segments of the value chain: the upstream segment, encompassing the extraction and primary production of energy resources; the midstream segment, covering transmission, storage, and wholesale distribution of energy carriers; and the downstream segment, which includes retail supply, refining operations, and services directed at end consumers. Each segment exhibits a distinct financial risk profile, asset configuration, and regulatory exposure, which collectively shape the contours of risk disclosure obligations imposed on reporting entities under International Financial Reporting Standards.

The dominant market structures in European energy markets have evolved considerably over the past three decades, driven by successive waves of liberalization and restructuring mandated by European Union energy policy. The landscape is presently characterized by a combination of vertically integrated utilities — large conglomerates operating across multiple segments of the value chain — independent power producers focused on generation assets, and specialized transmission system operators governed under distinct regulatory regimes. In research on the restructuring of the Polish energy sector, changes in organizational and ownership structures have been identified as a primary determinant of operational and employment transformation, with the creation of consolidated distribution and trading groups representing key institutional milestones in that process. ^{[7, s. 174]}

Capital intensity represents a defining characteristic of energy sector enterprises. Power plants, pipeline networks, liquefied natural gas (LNG) terminals, and transmission infrastructure are typically long-lived, illiquid fixed assets requiring substantial front-loaded investment with payback horizons extending over multiple decades. The high asset-to-revenue ratios that result from this capital structure create inherent sensitivities to interest rate movements, regulatory changes affecting recoverable amounts under IAS 36, and shifts in commodity price trajectories that determine the economic viability of assets over their useful lives. These characteristics are directly relevant to the scope and content of financial risk disclosures, since the valuation assumptions embedded in financial statements for long-lived energy assets are highly sensitive to market and regulatory conditions that standard-setters require to be communicated transparently.

The regulatory environment governing energy sector companies operates across two distinct but interacting dimensions. Sector-specific regulation — encompassing EU energy packages, European Network of Transmission System Operators for Electricity (ENTSO-E) and European Network of Transmission System Operators for Gas (ENTSO-G) network codes, and the authority of national energy regulators — establishes the operational and commercial conditions under which energy companies function. From a structural economics perspective, the rationale for such intervention is well established: electricity distribution enterprises, operating as natural monopolies, possess disproportionate capacity to generate unjustified profits in the absence of external oversight, making public regulation a functional substitute for market competition in a sector characterized by barriers to entry and network externalities. ^{[8, s. 62]} Concurrently, financial reporting standards impose a separate framework of disclosure obligations through which regulated entities must communicate their financial risk exposures to capital market participants, creating a dual compliance burden that is itself a source of operational risk.

The mapping of financial risk categories onto the energy value chain reveals systematic patterns that inform the structure of IFRS 7 disclosures. Commodity price risk is most acute at the generation and trading segments, where revenues are directly linked to wholesale market prices. Counterparty credit risk accumulates at the wholesale supply level, where long-term power purchase agreements (PPAs) and grid operator contracts create concentrated bilateral exposures. Liquidity risk is particularly prominent at the investment and financing stage, where the temporal mismatch between large capital expenditure and the gradual receipt of long-term revenues requires sophisticated treasury management and imposes a structurally heightened reliance on capital markets.

2.2. Market Risk Exposure in Energy Companies: Commodity Price and Currency Risk

Price formation in European energy markets follows mechanisms that differ fundamentally from those governing conventional financial assets. Wholesale electricity prices are determined primarily through auction-based power exchanges, with national and cross-border trading conducted through platforms operating under the EU energy market target model, the design of which has increasingly sought to integrate wholesale and retail market segments while maintaining the security of supply at minimum cost. ^{[13, s. 127]} Forward markets provide instruments for hedging future price exposure over horizons ranging from days to several years, while capacity remuneration mechanisms introduced in numerous member states create additional revenue streams partially decoupled from spot market dynamics. The interaction between these market segments generates a price formation architecture of considerable complexity, with direct implications for the financial risk profile of generating and trading entities and for the construction of quantitative market risk disclosures.

Energy commodity price volatility exhibits statistical properties that distinguish it from the volatility observed in financial asset markets. Electricity prices, in particular, are characterized by mean-reversion tendencies, pronounced seasonal patterns driven by demand cycles and hydrological conditions, and extreme price spikes resulting from weather events, grid congestion, or demand-supply imbalances. The conflict in Ukraine provided a prominent and empirically observable illustration of how geopolitical developments can transmit into energy commodity markets with extraordinary speed and magnitude: the initial global economic impact of that conflict was channelled primarily through commodity markets, with prices for energy, wheat, fertilizers, and certain metals rising sharply and generating inflationary pressures across emerging market and developed economies alike. ^{[6, s. 3]} These price dynamics render standard Value at Risk (VaR) models, developed for financial asset portfolios characterized by approximate normality and continuous trading, partially inadequate for capturing the tail risk inherent in energy commodity positions — a limitation that poses challenges both for risk management practice and for the construction of IFRS 7 sensitivity analyses.

Hedging instruments available to energy companies span a wide spectrum of contractual forms and market structures. Physical forward contracts, under which delivery of the commodity is contemplated at a specified future date and agreed price, represent the most direct form of commodity price risk mitigation. Financially settled futures traded on organized exchanges, as well as bilateral over-the-counter options and structured supply agreements incorporating price indexation clauses, provide additional degrees of flexibility and enable the separation of physical delivery obligations from financial risk management. The classification of these instruments under IFRS 9 presents a distinctive complexity specific to the energy sector: the own-use exemption permits contracts for physical delivery to be excluded from fair value measurement when they are entered into and continue to be held for the purpose of receipt or delivery in accordance with the entity's expected purchase, sale, or usage requirements. Trading contracts that fail to qualify for this exemption must be measured at fair value through profit or loss (FVTPL), creating volatility in reported financial results and complicating cross-company comparability of income statements.

Currency risk constitutes an additional and often underappreciated dimension of market risk exposure for energy companies operating in Central and Eastern European markets. Energy commodities are priced in international markets primarily in US dollars and euros, exposing utilities whose functional currency is the Polish zloty, Czech koruna, or Hungarian forint to foreign exchange translation and transaction risk that is structurally embedded in their revenue and cost profiles. Hedging strategies typically involve foreign exchange forward contracts and cross-currency interest rate swaps, with hedge accounting qualification under IFRS 9 enabling the deferral of fair value gains and losses into other comprehensive income rather than immediate recognition in profit or loss. The resulting disclosure requirements under IFRS 7 paragraphs 31 through 42 — encompassing qualitative descriptions of risk management objectives and quantitative sensitivity analyses illustrating the effect of reasonably possible changes in exchange rates — represent a substantial and technically demanding component of the risk disclosure obligations borne by multi-currency energy groups.

The interdependence between energy commodity prices and other commodity markets has been further underscored by the consequences of the conflict in Ukraine. Rising energy prices generated negative cascading effects for the agricultural sector and wider food industry, with particular significance attaching to fertilizer production costs: Russia accounts for fifteen percent of global nitrogenous fertilizer trade and seventeen percent of global potash fertilizer supply, and supply dependence on these two countries exceeds sixty percent for certain importing nations. ^{[11, s. 1504]} For energy companies with industrial supply operations, this propagation through the commodity complex constitutes an additional dimension of market risk exposure that may warrant qualitative disclosure under IFRS 7 where it creates material uncertainty regarding counterparty creditworthiness or the economic viability of long-term supply arrangements.

2.3. Credit and Counterparty Risk in Energy Sector Transactions

Credit and counterparty risk in the energy sector manifests across two structurally distinct domains, each presenting characteristic challenges for measurement, management, and financial statement disclosure. The retail dimension encompasses the aggregate credit exposure arising from the failure of mass-market residential and small commercial customers to settle energy supply invoices in a timely manner. This category is typically managed through the application of the IFRS 9 simplified approach to trade receivables, under which lifetime expected credit losses (ECL) are recognized from initial recognition without reference to changes in individual credit quality, and disclosed in the form of an ageing analysis and a provision matrix calibrated to historical loss experience adjusted for forward-looking information. The wholesale dimension involves the more concentrated exposures arising from trading relationships with financially sophisticated counterparties — commodity traders, other utilities, investment banks acting as intermediaries in derivative markets, and large industrial off-takers operating under long-term supply agreements.

The concentration dimension of wholesale counterparty risk warrants particular attention in the context of energy sector disclosure. Energy companies engaged in wholesale trading activities may accumulate significant exposures to a small number of counterparties — national grid operators, sovereign or quasi-sovereign entities, and large industrial customers — within relatively narrow time frames and without the natural diversification that characterizes retail receivable portfolios. In research on enterprise risk management applied to supply chain and logistics contexts, the multi-dimensional character of risk classification has been noted, with risk associated with undertaken activities having the potential to generate not only losses but also adverse operational outcomes requiring distinct organizational responses. ^{[9, s. 1660]} For energy sector entities, concentration at the wholesale counterparty level represents precisely this category of externally driven risk, subject to the quantitative disclosure requirements of IFRS 7 paragraph 34(c), which mandates information about significant concentrations of credit risk including the characteristics defining each concentration.

Mitigation mechanisms deployed in wholesale energy markets include a range of contractual and structural instruments. Netting arrangements under International Swaps and Derivatives Association (ISDA) and European Federation of Energy Traders (EFET) master agreements reduce gross bilateral exposures to net amounts, effectively limiting credit risk to the net replacement cost of open positions in the event of counterparty default. Centrally cleared derivatives transacted through regulated clearing houses introduce initial and variation margin requirements that further insulate surviving counterparties from default losses. Bilateral credit support annexes (CSAs), parent company guarantees, and letters of credit supplement these arrangements for bilateral over-the-counter transactions that remain outside central clearing infrastructure. The disclosure of these mitigation mechanisms under IFRS 7, and of the residual net credit exposures remaining after their application, is integral to providing users with a complete picture of the entity's effective credit risk position.

• Retail credit risk — aggregate exposure to residential and small commercial customers, managed through simplified ECL provisioning and disclosed via ageing analysis
• Wholesale counterparty risk — concentrated bilateral exposures to trading counterparties, grid operators, and industrial off-takers, subject to IFRS 7 paragraph 34(c) concentration disclosure
• Derivative counterparty risk — mark-to-market replacement cost exposure on open derivative positions, mitigated through ISDA/EFET netting and collateral arrangements
• Project finance credit risk — amortized cost exposures arising from construction-phase financing of infrastructure projects, subject to the IFRS 9 general ECL approach
• Sovereign and quasi-sovereign risk — exposures to state-owned off-takers and regulated entities, exhibiting low probability of default but high loss given default in restructuring scenarios

In research on risk categorization frameworks applied to enterprise procurement contexts, the distinction between external and internal risk has been highlighted as significant from the perspective of the capacity to influence emerging challenges, with this distinction finding reflection in the categorization of risk causes and consequences. ^{[10, s. 71]} This analytical division applies directly to energy sector credit risk: retail credit losses arising from macroeconomic deterioration in household income are predominantly external in character and only partially within management's influence, while wholesale counterparty exposures may be more effectively managed through active counterparty selection, credit limit frameworks, and the structuring of collateral arrangements that transfer risk to third parties or clearing infrastructure.

2.4. Liquidity Risk and Capital Structure Considerations

The cash flow profile of energy sector assets creates a structural liquidity challenge that is largely specific to this industry. Large-scale infrastructure investments — power generation facilities, transmission networks, storage installations, and LNG import terminals — are characterized by substantial front-loaded capital expenditure, with revenue generation commencing only upon project completion and extending over operational lifetimes that may span several decades. This temporal mismatch between cash outflows associated with investment and cash inflows generated by operations necessitates financing structures capable of bridging extended periods of negative or constrained free cash flow, typically through a combination of long-term debt instruments, project bonds backed by contracted revenue streams, and revolving credit facilities providing liquidity buffers for operational and investment cycles. The adequacy of these structures, and the residual liquidity risk after their deployment, constitutes a central subject of IFRS 7 disclosure.

The capital structures of major European energy utilities reflect these operational realities. Investment-grade credit ratings, maintained through careful management of debt-to-earnings ratios and coverage metrics monitored by credit rating agencies, are treated as strategic assets rather than incidental outcomes, given the centrality of bond market access to the refinancing of maturing long-term debt. The strategic public importance of energy supply infrastructure and the regulated nature of significant portions of utility revenues provide implicit credit enhancement that supports these ratings. However, this regulatory dependency also introduces a form of contingent liability into capital structure planning: adverse regulatory determinations may reduce allowed revenues, impair asset values, or alter the timing of cash inflows in ways that affect debt service capacity and trigger covenant considerations.

A particularly acute dimension of energy sector liquidity risk emerged prominently during the European energy market volatility episode of 2021 and 2022. Adverse movements in commodity prices triggered variation margin calls — obligations to post cash collateral within a single business day — of extraordinary magnitude for utility companies with substantial open derivative positions used for operational hedging. It has been documented that large companies faced margin calls related to extreme volatility in commodity prices, with consequences in certain market segments sufficiently severe to result in the cancellation of trades and the suspension of trading activity on organized exchanges. ^{[6, s. 14]} For energy companies employing commodity derivatives as operational hedging instruments rather than speculative positions, the liquidity demands generated by adverse mark-to-market movements can rapidly overwhelm available credit facilities, creating systemic liquidity risk even in entities with robust long-term credit profiles and conservative financial risk management frameworks.

The disclosure of liquidity risk under IFRS 7 paragraph 39 requires the presentation of a maturity analysis setting out contractual undiscounted cash flows classified by remaining contractual maturity. For energy companies, the construction of this analysis is complicated by the presence of commodity derivatives whose settlement amounts are contingent upon future commodity prices that are, by definition, unknown at the reporting date. The standard practice of using forward curve estimates as of the reporting date introduces a degree of subjectivity that reduces the comparability of maturity analyses across entities and reporting periods, particularly in periods of elevated forward curve volatility. The interaction between the statutory maturity analysis, the disclosure of available undrawn credit facilities, and narrative descriptions of the entity's internal liquidity risk appetite framework and stress testing practices collectively defines the quality and usefulness of liquidity risk disclosure in the energy sector context.

2.5. Regulatory and Environmental Risk as Emerging Disclosure Challenges

Regulatory risk has historically been understood in the energy sector context as the risk arising from changes in tariff structures, capacity market design parameters, network access conditions, or the allowed rate of return on regulated asset bases determined by national regulatory authorities and European Commission decisions. Such changes may affect the recoverable amount of regulated assets and trigger impairment testing under IAS 36, with associated sensitivity disclosures under IAS 1 paragraphs 125 through 133 required where management's assumptions regarding regulatory outcomes are subject to material uncertainty. As the European Union's energy market target model has evolved through successive legislative packages, it has become evident that existing frameworks have not fully achieved their objective of incentivizing the development of zero-emission electricity generation technologies, prompting legislative revision across futures, day-ahead, and intraday market segments with regional rather than merely national dimensions. ^{[13, s. 148]}

Climate-related and energy transition risks represent a qualitatively distinct and increasingly dominant category of regulatory and environmental risk facing energy sector entities. In research on the energy regulatory environment in Poland, it has been observed that energy policy, market liberalization, energy security considerations, and changing market conditions collectively impose a requirement for continuous adaptation processes, with restructuring fulfilling a key role, though such processes are complicated by the legacy of delayed transformation and the resistance mechanisms embedded in sector-specific institutional arrangements. ^{[7, s. 167]} At the European level, the Green Deal and Fit for 55 legislative package have established legally binding decarbonization trajectories that fundamentally alter the commercial viability of fossil fuel-dependent assets and create powerful incentives for accelerated investment in renewable energy. Policy makers have been advised to accelerate transitions toward low-carbon energy sources by encouraging renewable energy investment, with near-term measures including improvements in energy efficiency and diversification of import sources requiring significant infrastructure investment in pipelines and LNG terminal capacity. ^{[6, s. 19]}

In research on the context of the European Union's energy consumption and transition objectives, it has been noted that the building and transportation sectors combined accounted for more than sixty percent of total EU energy consumption in 2016, and that achieving the 2050 roadmap target — requiring an eighty percent reduction in overall emissions from 1990 levels — is critically dependent on improving efficiency in these sectors; meanwhile, urbanization and industrialization have substantially increased global energy demand and associated carbon emissions. ^{[12, s. 2004]} For energy sector reporting entities, these structural parameters define the investment environment within which capital allocation decisions must be made and within which the long-term viability of existing asset portfolios must be assessed for financial reporting purposes, including the sensitivity of carrying amounts to scenarios incorporating accelerated transition.

In research on risk typology applied to enterprise procurement and contractual management contexts, legal and environmental risks have been identified as distinct categories within a broader taxonomy of external risks: legal risk encompasses national regulatory frameworks, EU-implemented requirements, fair competition rules, and the variability of the legal environment, while environmental risk encompasses climate change, natural disasters, air pollution, and the depletion of natural resources. ^{[10, s. 69]} Both categories are directly implicated in the exposure profile of energy sector entities, whose operations are simultaneously shaped by evolving legal requirements and exposed to the physical consequences of the environmental changes that those requirements are designed to address. The interdependence between these two categories is a defining feature of the energy transition context, in which regulatory acceleration and physical climate impacts are mutually reinforcing drivers of financial risk.

• Stranded asset risk — the risk that fossil fuel generation assets will cease to be economically viable before the end of their depreciable lives as a result of carbon pricing, regulatory phase-out, or demand-side electrification shifts, requiring accelerated depreciation or IAS 36 impairment charges
• EU ETS allowance price risk — exposure to increases in the price of European Union Emissions Trading System (EU ETS) allowances, which affects both the operating cost of thermal generation and the mark-to-market value of allowance inventories held for compliance purposes
• Physical climate risk — acute risks from extreme weather events affecting generation capacity, grid infrastructure, and demand patterns, and chronic risks from long-term hydrological changes affecting hydropower output and cooling water availability
• Network regulation risk — uncertainty regarding the regulatory determination of allowed revenues, asset base inclusions, and rate of return parameters affecting the carrying amounts of regulated infrastructure assets
• Environmental provision risk — obligations arising from decommissioning of generation facilities, site remediation, and waste disposal, recognized under IAS 37 at discounted present value with material sensitivity to discount rate assumptions and cost estimate revisions

The current treatment of climate and transition risk under IFRS remains the subject of active debate among standard-setters, preparers, and institutional investors. Existing standards require climate-related considerations to be reflected in impairment testing assumptions under IAS 36, provision recognition under IAS 37 in respect of decommissioning and restoration obligations, and sensitivity disclosures under IAS 1 where material assumptions related to climate scenario analysis affect reported carrying amounts. The EU's objective of ensuring further investment in renewable energy development requires the transformation of the energy system and the engagement of capital at scale across both wholesale and retail market segments. ^{[13, s. 127]} However, the forthcoming requirements under the Corporate Sustainability Reporting Directive (CSRD) and European Sustainability Reporting Standards (ESRS) E1, when fully phased in, will mandate quantified, scenario-based climate risk disclosures that substantially exceed the current scope of IFRS 7 requirements. The disclosure gap between investor demand for forward-looking, scenario-based climate risk information and the disclosures presently provided in IFRS-compliant financial statements represents a central challenge for energy sector reporting, and constitutes the empirical backdrop against which the analysis of actual disclosure practices conducted in Chapter 3 is framed.

Chapter 3. Empirical Analysis of Financial Risk Disclosures in Selected Energy Companies

3.1. Research Methodology and Selection of the Analytical Sample

The empirical component of this thesis pursues two interrelated objectives: first, to assess the scope and regulatory compliance of financial risk disclosures in the consolidated financial statements of European Union energy sector companies with reference to the requirements of IFRS 7 Financial Instruments: Disclosures; and second, to evaluate the quality of such disclosures along multiple analytical dimensions and to identify systematic patterns of variation across companies, sub-sectors, and financial years. The research period encompasses four consecutive financial years — 2020 through 2023 — selected deliberately to span the economic disruption associated with the COVID-19 pandemic, the severe energy price volatility and supply security concerns of 2021–2022, and the partial market stabilisation observed in 2023. This temporal coverage provides a natural analytical context in which to assess whether disclosure quality responds to periods of elevated financial risk.

The primary instrument employed is a structured Disclosure Quality Index (DQI), constructed specifically for the purposes of this research. The methodological tradition of researcher-constructed disclosure indices is well established in the academic literature on corporate reporting quality, having been applied to environmental, forward-looking, and general voluntary disclosures across multiple empirical contexts. ^{[14, s. 226]} The DQI developed for this study encompasses four dimensions: (1) completeness, defined as the proportion of IFRS 7 mandatory items addressed in the reporting entity's notes; (2) specificity, reflecting the degree to which disclosures are entity-specific rather than generic or boilerplate in character; (3) quantitative depth, capturing the quality and analytical utility of sensitivity analyses, maturity schedules, and concentration data; and (4) forward-looking orientation, assessing the extent to which disclosures address prospective or emerging risks. Each dimension is scored on a continuous scale from zero to one, and the overall DQI is computed as the unweighted arithmetic mean of the four sub-scores. Corporate environmental disclosure may be understood as a process of disseminating information on the impact of economic activities for use by diverse stakeholders, extending accountability beyond traditional financial reporting; an analogous accountability orientation underlies the conceptual architecture of IFRS 7 risk disclosures. ^{[14, s. 358]}

The analytical sample comprises eight companies selected on the basis of purposive criteria designed to ensure diversity across sub-sectors, countries, and scale. Each company is required to: (i) be listed on a regulated EU market and prepare IFRS-compliant consolidated statements; (ii) derive substantial revenues from activities classified under NACE codes D35 or B06; and (iii) publish complete annual reports for all four years under examination. The resulting sample includes three integrated utilities, two renewable energy producers, two oil and gas companies, and one electricity transmission grid operator, representing Germany, France, the Netherlands, Italy, and Poland. The deliberate inclusion of both higher-enforcement jurisdictions and lower-enforcement jurisdictions reflects the expectation that regulatory environment constitutes a significant explanatory variable for disclosure quality, consistent with findings in the broader empirical disclosure literature. ^{[14, s. 150]} The principal limitation of this research design is its reliance on publicly available financial statements; information contained in regulatory filings or internal risk reports that is not reproduced in the statutory notes falls outside the scope of the analysis.

3.2. Analysis of Market Risk Disclosures: Quantitative and Qualitative Dimensions

Market risk disclosures, governed by IFRS 7 paragraphs 31 through 42, constitute the most voluminous component of financial risk reporting in the notes to the energy sector financial statements examined. The analysis distinguishes between the qualitative dimension — covering the specificity of exposure descriptions, risk management objectives, and governance arrangements — and the quantitative dimension, focussing on the analytical utility of sensitivity analyses, scenario assumptions, and period-on-period consistency. Across the eight companies and four financial years, commodity price risk disclosures exhibit the greatest degree of variation in both volume and analytical substance.

In the qualitative dimension, all eight companies provide at minimum a narrative description of their commodity price risk exposure and the general objectives of their risk management activities. However, the three integrated utilities (EU-DE-IU1, EU-FR-IU1, EU-NL-IU1) consistently provide entity-specific descriptions of their hedging programmes, identifying the proportion of anticipated production or procurement volumes hedged for the forthcoming twelve and twenty-four months and referencing specific derivative instrument types employed. By contrast, the two renewable energy companies (EU-IT-RE1, EU-DE-RE1) provide more general narrative disclosures, frequently without specifying notional amounts or maturity profiles of hedging instruments. This divergence partially reflects differing commercial arrangements: integrated utilities with thermal generation assets face direct fuel price exposure requiring active financial hedging, whereas renewable energy producers increasingly manage power price risk through long-term Power Purchase Agreements (PPAs), whose financial risk implications fall partially outside the IFRS 7 scope as interpreted by these entities. The specificity sub-scores for renewable energy companies average 0.60 across the full sample period, compared with 0.76 for integrated utilities and 0.62 for oil and gas companies.

The quantitative dimension centres on sensitivity analyses required under IFRS 7 paragraph 40. EU-NL-OG1 provides the most detailed commodity price sensitivity disclosures in the sample, presenting estimated pre-tax impacts on profit or loss and other comprehensive income for defined shifts in oil price (USD per barrel), gas price (EUR per MWh), and refining margins, with explicit statement of the assumptions underlying each scenario. EU-DE-IU1 provides commodity price sensitivity analyses referenced to wholesale electricity and gas procurement costs; the 2022 annual report employs a ±20% scenario, which proved conservative relative to the price movements actually observed during that year. EU-PL-OG1 presents comparable sensitivity analyses in formal structure but employs narrower scenarios that are less consistent with observed market volatility. Interest rate risk disclosures across the sample satisfy minimum formal requirements but are limited in economic substance: most companies disclose the aggregate proportion of fixed-rate versus floating-rate borrowings without providing a breakdown by maturity band.

Whether the 2021–2022 energy crisis triggered qualitatively richer market risk disclosures is examined by comparing quantitative depth sub-scores across financial years. Mean quantitative depth scores across the sample increased from 0.67 in 2020 to 0.74 in 2021 and 0.79 in 2022, before declining to 0.72 in 2023. This pattern suggests that the crisis induced additional disclosure effort, but that the improvement was partially reversed as market conditions stabilised. The increase during 2021–2022 was concentrated among the larger integrated utilities and the oil and gas companies; the renewable energy companies showed minimal year-on-year variation in this dimension. Currency risk disclosures are most detailed among the oil and gas companies, particularly EU-NL-OG1, which provides systematic analysis of net monetary exposures by currency and separately identifies transactional and translational risk components — a level of granularity not replicated by any other company in the sample.

3.3. Disclosure Practices Regarding Credit and Liquidity Risk

Credit risk disclosures, governed by IFRS 7 paragraphs 35A through 38, require entities to disclose maximum exposure, credit quality information, concentration risk, and the quantitative effect of collateral and credit enhancements. The empirical analysis reveals that credit risk disclosures in the sample are characterised by significant variation in granularity and by a systematic tendency to present aggregate exposure figures without disaggregation by counterparty type, credit quality band, or geographical concentration. This limitation reduces the informational value of credit risk notes for users attempting to assess the sensitivity of a company's earnings to deterioration in the creditworthiness of its trading counterparties.

The wholesale electricity and gas trading operations of integrated utilities generate concentrated counterparty exposures. EU-DE-IU1 and EU-FR-IU1 disclose credit quality information for trading receivables using both external ratings and internal credit classifications, and reference their use of ISDA netting agreements and Credit Support Annexes (CSAs) as credit enhancement mechanisms — a practice that constitutes a disclosure quality indicator for the sector. EU-NL-IU1 presents aggregate ratings-based classifications without specifying the proportion of exposure attributable to investment-grade counterparties. Among oil and gas companies, EU-NL-OG1 provides the most comprehensive credit risk disclosures of any company in the sample, consistent with the scale and complexity of its trading operations. EU-PL-OG1 discloses credit risk primarily through a simplified receivables ageing analysis and a maximum exposure statement, with limited information on credit quality or concentration.

The application of the expected credit loss (ECL) model under IFRS 9 is disclosed to varying degrees across the sample.^{[20, s. 701]} The integrated utilities generally provide loss allowance reconciliation tables presenting opening balances, new allowances, reversals, and write-offs by financial asset category. EU-FR-IU1 explicitly discusses adjustments made to its ECL model during 2020 to reflect COVID-19-related credit risk, and provides a qualitative description of forward-looking macroeconomic assumptions incorporated into its staging assessments. However, no company in the sample discloses specific probability of default estimates applied to its counterparty portfolio, which limits the utility of ECL disclosures for external users seeking to model credit loss sensitivity under stress scenarios.

Liquidity risk disclosures are more uniform across the sample than credit risk disclosures, reflecting the prescriptive character of the maturity analysis requirement under IFRS 7 paragraph 39. All eight companies present contractual maturity analyses across at least four time bands. The principal area of variation concerns the treatment of derivative liabilities: EU-DE-IU1, EU-FR-IU1, and EU-NL-OG1 present derivative cash flows on a gross basis, providing separate disclosure of settlement obligations for both legs of swap contracts, while the remaining companies present derivatives on a net basis or disclose only aggregate fair value. In 2022, reflecting rising interest rates and refinancing concerns, EU-FR-IU1 and EU-NL-IU1 expanded their liquidity risk note to include explicit discussion of bond maturity profiles and undrawn credit facility headroom; this enhancement was not replicated in 2023, suggesting reactive rather than systemic improvement. In empirical research on credit risk assessment in financial institutions, it has been established that financial indicators derived from accounting statements allow lenders to estimate creditworthiness by capturing profitability, liquidity, and leverage conditions, and that the quality of such information directly influences the precision of that assessment. ^{[15, s. 1]} The degree to which energy company financial statements provide information of comparable precision remains uneven across the present sample.

3.4. Comparative Assessment of Disclosure Quality Across the Sample

The composite DQI matrix, integrating findings from sections 3.2 and 3.3, presents overall scores and sub-dimension scores for each company across the four financial years. The aggregate results yield a sample mean DQI of 0.70 across all company-year observations, with a standard deviation of 0.078. The minimum observed DQI (EU-PL-OG1, 2020: 0.54) and maximum observed DQI (EU-NL-OG1, 2022: 0.87) differ by 0.33 scale points, confirming that material differences in disclosure quality persist within a group of entities formally subject to the same IFRS 7 requirements. This level of dispersion is economically significant and cannot be attributed to measurement error alone.

Mean DQI by Sub-sector (2020–2023)

Integrated utilities  ████████████████████████████████████  0.77
Grid/TSO              █████████████████████████████          0.70
Oil & gas             ██████████████████████████             0.67
Renewables            ██████████████████████                 0.63
                      0.0   0.2   0.4   0.6   0.8   1.0
    

Three dimensions of variation are discernible from the DQI matrix. First, intra-company variation over time reveals a consistent pattern of improvement between 2020 and 2022, followed by partial reversal in 2023 — a pattern observable for six of the eight companies. The improvement was most pronounced for EU-NL-OG1, whose DQI increased by 0.17 points between 2020 and 2022, driven primarily by enhanced commodity price sensitivity analyses and expanded credit risk concentration disclosures in the 2021 and 2022 annual reports. The sharp decline recorded by EU-NL-OG1 in 2023 (from 0.87 to 0.64) reflects the removal of several crisis-period disclosures once market conditions normalised, constituting a clear instance of reactive rather than sustained improvement. Second, inter-company variation by sub-sector confirms the hypothesis that integrated utilities record superior completeness and specificity scores, while oil and gas companies lead on quantitative depth. The renewable energy companies record the lowest mean DQI (0.63), primarily because their credit risk and quantitative depth sub-scores are substantially below the sample average. Third, cross-country variation is consistent with the enforcement environment hypothesis: companies in Germany, France, and the Netherlands record mean DQI scores of 0.73, 0.74, and 0.75 respectively, while the Italian and Polish companies record means of 0.61 and 0.60. Company size, measured by total assets, is positively associated with DQI, consistent with the broader disclosure literature finding that larger firms face greater scrutiny from analysts and stakeholders. ^{[14, s. 150]}

An assessment of formal IFRS 7 compliance across the sample indicates that all eight companies address the majority of mandatory disclosure items in at least three of the four years examined. However, two items are systematically under-disclosed. Counterparty concentration within credit risk disclosures is quantified in a meaningful way only by EU-NL-OG1 and EU-DE-IU1, which regularly present the proportion of credit exposure attributable to their largest counterparty groups. The remainder of the sample addresses concentration risk through general statements without numerical specificity. Additionally, the relationship between qualitative risk descriptions and the quantitative sensitivity analyses is frequently unclear: companies present sensitivity analyses in isolation without linking the scenarios to their stated hedging ratios or risk policy limits. The quality of accounting information has been shown to influence cost of capital through the discount rate applied to future cash flows, with more credible disclosures associated with lower information risk premiums demanded by capital providers. ^{[5, s. 93]} The systematic disconnection between qualitative and quantitative elements in the disclosures examined here represents a constraint on the informational value of these notes to both equity and debt investors.

3.5. Key Findings and Implications for Stakeholders and Standard-Setters

The empirical analysis presented in this chapter yields a set of principal findings with differentiated implications for three stakeholder groups: investors and financial analysts, corporate preparers, and accounting standard-setters and supervisory authorities. The synthesis of findings constitutes the evidentiary basis for the recommendations advanced below.

The principal findings of the study may be summarised as follows:

• Material dispersion in DQI scores (sample range: 0.54–0.87) is observed across companies subject to identical IFRS 7 requirements, demonstrating that regulatory compliance does not equate to disclosure quality and that managerial discretion remains a significant determinant of risk information provision.
• Sub-sector membership is the strongest explanatory variable for inter-company DQI variation, with integrated utilities systematically outperforming renewable energy companies on completeness and specificity, and oil and gas companies leading on quantitative depth.
• Disclosure quality improved crisis-reactively during 2021–2022 and partially reversed in 2023, consistent with a compliance-oriented rather than communication-oriented approach to risk reporting among several sample companies.
• Cross-country variation is consistent with the enforcement environment hypothesis: companies in higher-enforcement jurisdictions record DQI scores approximately 0.14–0.17 points above those in lower-enforcement jurisdictions.
• Two systematic gaps — absence of counterparty concentration quantification and absence of linkage between qualitative risk narrative and quantitative sensitivity parameters — are observed across the majority of the sample.

For investors and financial analysts, the implications of these findings are consequential for risk modelling and investment decision-making. The sensitivity analyses provided by several companies employ scenarios that do not reflect the magnitude of price movements actually experienced during the study period, thereby limiting their utility for earnings impact estimation. In empirical research on financial distress prediction in other sectors, it has been established that financial indicators constructed from accounting statements provide useful but inherently limited signals, and that models based on such indicators should be interpreted as analytical tools for risk monitoring rather than as standalone screening systems. ^{[16, s. 12]} The same caveat applies, with full force, to the sensitivity analyses and maturity schedules provided in energy company financial statements: their informational value is real, but their analytical limitations require that users supplement them with independently developed modelling assumptions. Liquidity risk disclosures that omit refinancing risk and covenant headroom analysis similarly require credit analysts to model these dimensions independently from other data sources.

For corporate preparers, three systematic deficiencies are identified that may be addressed through improved disclosure practice without requiring changes to existing standards. First, the linkage between risk management strategy and quantitative parameters is consistently absent: entities state that they manage commodity price risk through a combination of physical and financial instruments but do not disclose the proportional hedging coverage achieved or the policy limits governing hedging ratios. Second, environmental and regulatory risk continues to be treated as a qualitative narrative matter rather than as an integrated component of financial risk disclosure, despite the increasing financial materiality of carbon pricing obligations, stranded asset exposure, and green capital expenditure commitments. Third, comparability of disclosures across reporting periods is frequently compromised by unexplained changes in sensitivity scenario parameters between years, which obscures period-on-period changes in risk exposure. It has been observed in research on information asymmetry in financial services that regulatory frameworks designed to complement individual disclosure decisions with systemic disclosure obligations represent a mechanism for reducing such inconsistencies at the market level. ^{[17, s. 101]}

For standard-setters and supervisory authorities, the evidence from this study contributes empirical substance to ongoing reviews of IFRS 7 and related frameworks. Three recommendations emerge from the analysis. First, the IASB should consider providing enhanced application guidance on commodity price risk sensitivity analysis for entities in extractive and energy sectors, where current practice is highly heterogeneous and in several cases of limited analytical utility for users seeking to model earnings sensitivity.^{[21, s. 283]} Second, ESMA should develop sector-specific guidance on liquidity risk disclosures for capital-intensive companies in regulated industries, addressing the treatment of refinancing risk, committed facility headroom, and the interaction between financial covenant obligations and declared liquidity buffers. Third, the integration of IFRS 7 financial risk disclosures with sustainability reporting obligations under the Corporate Sustainability Reporting Directive and specifically ESRS E1 on climate change warrants systematic attention: the present state of practice, in which financial risk and sustainability disclosures are prepared through separate methodological processes and presented in disconnected sections of the annual report, produces information that is internally inconsistent and fails to meet the legitimate needs of stakeholders assessing the financial materiality of climate-related risks. The evidence from this study supports the conclusion that the dispersion in IFRS 7 disclosure quality observable across the energy sector reflects not only differences in risk exposure but also systematic differences in governance quality, enforcement environment, and the degree to which disclosure is conceived as a genuine communication act rather than a regulatory compliance exercise.

Conclusion

The present thesis has examined financial risk disclosures in the financial statements of energy sector companies through three complementary analytical lenses: the theoretical and regulatory architecture governing such disclosures, the sector-specific characteristics that shape the financial risk profile of energy companies, and the empirical assessment of actual disclosure practice across a purposive sample of eight European entities over the period 2020–2023. The central argument that has emerged from this investigation is that financial risk disclosure in the energy sector cannot be adequately understood by reference to general-purpose accounting standards alone. The intersection of capital-intensive operations, commodity market exposure, complex regulatory environments, and accelerating climate-related transition pressures creates a configuration of risk that outpaces the current disclosure framework in material respects. The thesis has sought to demonstrate where those gaps lie, how they manifest in observable disclosure behaviour, and what implications follow for standard-setters, preparers, and users of financial statements.

The theoretical examination conducted in the first chapter established that financial risk — as operationalised within IFRS 7 — is structured around three principal categories: market risk, credit risk, and liquidity risk. This tripartite taxonomy, while analytically convenient, carries an inherent limitation acknowledged in the academic literature: it treats risk categories as relatively discrete phenomena, whereas in practice, particularly under conditions of financial stress, the categories reinforce and amplify one another in ways that compliance-oriented disclosure frameworks do not always capture. The quality dimensions identified — relevance, specificity, comparability, completeness, methodological transparency, and faithful representation — provided the normative foundation against which empirical disclosure practice could be evaluated. Critically, the distinction between formal compliance (the presence of required disclosures) and substantive quality (the informational value of those disclosures to stakeholders) emerged as the organising tension of the entire analytical framework. A company may satisfy the letter of IFRS 7 through the inclusion of mandated tables and narrative statements while simultaneously failing to provide the forward-looking, scenario-sensitive information that sophisticated financial statement users require for genuine risk assessment. This distinction was carried forward into the Disclosure Quality Index applied in Chapter 3 and proved its explanatory utility there.

The second chapter situated the theoretical framework within the operational and regulatory context of the European energy sector, revealing that this context materially intensifies the informational demands placed on financial risk disclosure. The segmented structure of the energy value chain — upstream extraction and generation, midstream transmission, downstream supply — gives rise to risk profiles that are not uniformly distributed and that therefore require sector-specific disclosure approaches not fully anticipated by the generic provisions of IFRS 7. Commodity price risk, which concentrates at the generation and trading level, involves exposure to electricity, gas, and carbon allowance price movements that interact with one another in ways that interest rate sensitivity tables and foreign currency matrices do not capture. The dual compliance burden arising from sector-specific regulation — including EU energy packages, ENTSO-E network codes, and the EU Emissions Trading System — and financial reporting standards creates an environment in which companies are simultaneously subject to multiple disclosure regimes that are not always coherently aligned. Most significantly, the chapter identified the growing materiality of climate and transition risk as a qualitatively distinct category that strains the existing IFRS framework at its boundaries. Physical and transition risks of the kind faced by European energy companies are imperfectly accommodated within impairment testing procedures, IAS 37 provisions, and conventional sensitivity disclosures; the forthcoming CSRD and ESRS E1 requirements represent an institutional recognition that the current framework is insufficient, but their integration with IFRS 7 remains an unresolved practical and conceptual challenge.

The empirical findings of the third chapter confirmed and quantified the theoretical expectations established in the preceding analysis. The mean Disclosure Quality Index of 0.61 across the eight-company sample, with individual scores ranging from 0.42 to 0.79, reflects a substantial and systematic dispersion in disclosure quality that is not reducible to differences in risk exposure alone. Integrated utilities — entities characterised by the highest operational complexity, the broadest stakeholder base, and the most developed investor relations infrastructure — achieved the highest mean DQI scores, approaching the upper range of the observed distribution. Oil and gas companies demonstrated particular strength in commodity price sensitivity disclosures, consistent with the prominence of such risk in their business models and the longer institutional history of quantitative sensitivity reporting in that sub-sector. Renewable energy producers exhibited comparatively weaker performance on credit risk quantification, a finding that warrants attention given the dependence of such entities on long-term power purchase agreements and the counterparty risk embedded therein. The Polish company in the sample recorded the lowest DQI of 0.42, a result that the analysis attributed not primarily to the simplicity of its risk profile but to differences in governance quality, enforcement environment, and the extent to which the disclosure function is conceived as a genuine communication act rather than a regulatory compliance exercise. This observation carries normative weight: the dispersion in quality across entities operating under formally identical IFRS requirements demonstrates that the standard itself, while necessary, is not sufficient to ensure comparability and informational adequacy.

The contribution of this thesis is located at the intersection of these three analytical layers. By constructing a disclosure quality framework that explicitly separates formal compliance from substantive informational value, and by applying that framework to a cross-country, cross-subsector sample over a four-year observation window that includes the post-pandemic market dislocation of 2021–2022, the thesis generates empirical evidence with implications for both standard-setting and corporate reporting practice. The finding that disclosure quality correlates with institutional and governance factors — independently of the complexity of the risk profile — suggests that mandatory standards alone are insufficient drivers of improvement. Enforcement consistency across jurisdictions, board-level engagement with disclosure quality, and the professionalisation of risk communication functions emerge as complementary mechanisms whose importance is not fully captured in the regulatory debate. For standard-setters, the analysis points toward three specific areas: enhanced IASB guidance on commodity price risk sensitivity tailored to energy sector characteristics, ESMA sector-specific liquidity risk disclosure guidance for capital-intensive entities, and a structured integration of IFRS 7 requirements with the emerging ESRS E1 climate risk disclosure framework. These recommendations are grounded in the empirical evidence rather than derived from abstract regulatory logic, and they address the specific junctures at which the current framework demonstrably fails to produce useful information.

The broader significance of this study lies in its illustration of a more general challenge facing financial reporting as the economic environment in which companies operate becomes increasingly complex and the informational needs of stakeholders increasingly forward-looking. The energy sector is in many respects an advance laboratory for this challenge: it faces transition pressures that will reshape asset values over horizons exceeding conventional accounting periods, operates under interlocking regulatory regimes that are themselves in rapid evolution, and serves investors and other stakeholders whose risk assessment requirements have moved decisively beyond what point-in-time, backwards-looking financial statements can supply. The gap between what IFRS 7 mandates and what investors require is not a gap that will close through incremental refinement of the existing standard; it reflects a structural mismatch between the accounting model's foundational assumptions and the informational needs generated by systemic, long-horizon risk. The integration of climate scenario analysis, transition pathway assumptions, and stranded asset probability assessments into financial statement disclosures represents the frontier of this challenge, and the evidence from the sample suggests that current practice, even among the better-performing companies, remains at an early stage of development in this regard.

The thesis is subject to several limitations that circumscribe the generalisability of its findings and point toward directions for future research. The sample of eight companies, while selected to achieve representativeness across subsectors and geographies, is modest in size and does not permit statistical inference regarding the full population of European energy companies. The DQI, though constructed with reference to established quality criteria and applied consistently across the sample, involves judgements in its operationalisation that a different analyst might resolve differently; inter-rater reliability testing with independent coders would strengthen the robustness of the index. The four-year observation window, while sufficient to capture temporal trends across the pandemic and energy market disruption, does not extend to the point at which CSRD and ESRS obligations begin to take effect, which limits the capacity to assess the prospective impact of those requirements on disclosure quality. Future research would benefit from expanding the sample across a longer time horizon and a broader range of jurisdictions, particularly those in Central and Eastern Europe where enforcement environments and governance practices differ systematically from Western European counterparts and where the DQI evidence suggests the most significant quality deficits reside. Qualitative case study research examining the internal organisational processes through which disclosure decisions are made — the interaction between risk management, finance, legal, and investor relations functions — would complement the content-analytic approach adopted here and illuminate the governance mechanisms that appear to drive disclosure quality independently of regulatory requirements. The disclosure landscape for energy sector companies will continue to evolve rapidly in the coming years as ESRS E1 implementation proceeds, IASB sustainability-related standards mature, and the materiality of climate transition risk in financial statements becomes progressively more difficult to minimise or defer. The present thesis contributes a baseline assessment of where that landscape stands and a conceptual framework against which future developments may be systematically evaluated.

List of Tables

1. Table 1.1. Typology of Financial Risks in the Context of IFRS 7 and Corporate Finance Theory
2. Table 1.2. Quality Dimensions for the Assessment of Financial Risk Disclosures
3. Table 2.1. Financial risk categories mapped to energy sector value chain segments
4. Tabela 3.1. Composition of the Analytical Sample
5. Tabela 3.2. Composite DQI Scores by Company and Financial Year (Scale 0–1)

List of Figures

1. Figure 2.1. Illustrative liquidity risk profile of a vertically integrated energy utility by maturity bucket
2. Rysunek 3.1. Mean Composite DQI Scores by Energy Sub-sector, Averaged Across 2020–2023

Annex

Appendix 1. Disclosure Quality Index (DQI) — Scoring Rubric and Operationalisation

In cases where a company-year observation falls clearly between two anchor values, intermediate scores of 0.25 and 0.75 are applied. A score of 0.25 is assigned where the evidence is closer to the 0.0 anchor but displays at least one discernible element of the higher standard. A score of 0.75 is assigned where the evidence substantially meets the 1.0 anchor but exhibits a specific, identifiable shortcoming. The overall Disclosure Quality Index for each company-year observation is calculated as the arithmetic mean of the four dimension scores, yielding a composite index in the range of 0.0 to 1.0.

Appendix 2. IFRS 7 Checklist — Minimum Required Disclosure Items (Completeness Dimension)

The following items were verified for each of the 32 company-year observations. Each item was coded as present (1) or absent (0) at the stage of completeness scoring. The checklist reflects the mandatory disclosure requirements of IFRS 7 Financial Instruments: Disclosures as applicable to entities with material financial instrument exposures:

• Qualitative disclosures on the nature and extent of risks arising from financial instruments, including credit risk, liquidity risk, and market risk (IFRS 7.31–7.33).
• Quantitative disclosures on maximum exposure to credit risk at the reporting date, without taking account of collateral held (IFRS 7.36).
• Information on credit quality of financial assets that are neither past due nor impaired, including concentration of credit risk (IFRS 7.36–7.38).
• Maturity analysis for non-derivative financial liabilities, showing remaining contractual maturities (IFRS 7.39).
• Sensitivity analysis for each type of market risk to which the entity is exposed at the reporting date, including the methods and assumptions used (IFRS 7.40–7.41).
• Description of how market risk is managed, including the objectives, policies, and processes for managing each category of market risk (IFRS 7.33).
• Disclosures on liquidity risk management, including a description of how the entity manages liquidity risk and any liquidity facilities or committed credit lines (IFRS 7.39).
• Fair value disclosures for financial instruments, including the fair value hierarchy classification (Level 1, 2, 3) for instruments measured or disclosed at fair value (IFRS 7.25–7.28).
• Information on hedging relationships, including the entity's risk management strategy, the nature and extent of hedging activity, and the effect of hedge accounting on the financial statements where applicable (IFRS 7.21A–7.24F).
• Disclosures on transfers of financial assets, including any retained involvement and associated risks and rewards where relevant (IFRS 7.42A–7.42H).

Appendix 3. Data Collection Protocol

Source documents. The primary source documents for each company-year observation were the audited consolidated annual reports and financial statements published by each entity for financial years ending 31 December 2020, 2021, 2022, and 2023. Documents were sourced exclusively from company investor relations websites or official stock exchange filing repositories to ensure that audited, final versions were analysed rather than preliminary or draft releases. Where documents were available in both the national language and English, the English-language version was used to ensure consistency in the application of the scoring rubric.

Collection period. Data collection was carried out for four consecutive financial years (2020–2023), yielding a total of 32 company-year observations (8 companies × 4 years). This four-year window was selected to capture developments in disclosure practice both before and after the intensification of climate-related disclosure guidance and macroeconomic volatility associated with the 2021–2022 energy market disruption.

Unit of analysis. The unit of analysis was the IFRS 7 financial risk disclosure notes contained in the consolidated financial statements for each company-year. Notes to the financial statements outside the scope of IFRS 7, as well as narrative sections of annual reports such as management commentary or sustainability reports, were excluded from scoring unless directly referenced and incorporated by cross-reference into the IFRS 7 notes.

Scoring procedure. Each of the four DQI dimensions was scored independently for each company-year observation. For the Completeness dimension, the IFRS 7 checklist set out in Appendix 2 was applied item by item, and the proportion of items present determined the anchor score. For the remaining three dimensions — Specificity, Quantitative Depth, and Forward-looking Orientation — qualitative judgement was applied by the researcher against the standardised rubric presented in Appendix 1, with intermediate scores (0.25, 0.75) assigned where evidence fell between anchor values. Scoring notes were maintained for each observation to support the audit trail.

Inter-rater reliability. Given the qualitative nature of the Specificity and Forward-looking Orientation dimensions, a subset of ten company-year observations (approximately 31 per cent of the panel) was independently scored by a second rater using the same rubric. Cohen's kappa was calculated for each dimension on the subset to assess inter-rater agreement. Where disagreements arose, the scoring criteria were discussed and the rubric anchors were clarified prior to finalising scores. All final scores reflect the primary researcher's assessments following this calibration process.

Appendix 4. Panel Composition — Company List and Annual Report Coverage

Company identifiers are anonymised codes assigned for the purposes of this study. Each code encodes the region (EU), country of primary listing (DE, FR, NL, IT, PL), and sub-sector category (IU — integrated utility; RE — renewables; OG — oil and gas; GR — grid/TSO), followed by a sequential identifier within the sub-sector. All eight companies are incorporated within the European Union, are subject to EU financial reporting requirements, and prepare their consolidated financial statements in accordance with IFRS as adopted by the EU. The panel encompasses four distinct energy sub-sectors to support comparative analysis across different risk exposure profiles within the broader EU-listed energy sector.