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This study measures the effect of financial reporting on the prices and volumes traded of banks’ outstanding stocks around the disclosure of interim financial information, which is a critical issue in a bank strategy, its management and corporate governance as a whole. We investigate whether earning press releases are relevant for driving investor decisions by using a multi-model event study on a sample of 674 press releases disclosed during the period 2010–2017 from the 28 Global Systemically Important Banks (G-SIBs). Our results show a negative statistically significant impact on stock prices and trading volumes in the very next days following the publication date of a press release. This calls for a reflection on the need to regulate earnings press release contents and propose a standardized framework of disclosure. The study extends a multi-dimensional insight for various stakeholders and contributes to the ongoing debate of financial disclosure in banking institutions.

The general consensus on the need to enhance the resilience of the financial system has led to the imposition of higher capital requirements for certain institutions, supposedly based on their contribution to systemic risk. Global Systemically Important Banks (G-SIBs) are divided into buckets based on their required additional capital buffers ranging from 1% to 3.5%. We measure the marginal contribution to systemic risk of 26 G-SIBs using the Distressed Insurance Premium methodology proposed by Huang et al. (J Bank Financ 33:2036–2049, 2009) and examine ranking consistency with that using the SRISK of Acharya et al. (Am Econ Rev 102:59–64, 2012). We then compare the bucketing using the two academic approaches and supervisory buckets. Because it leads to capital surcharges, bucketing should be consistent, irrespective of methodology. Instead, discrepancies in the allocation between buckets emerge and this suggests the complementary use of other methodologies.

Purpose This study aims to investigate the relationship between banks’ board structure and sustainability performance. Design/methodology/approach The empirical quantitative paper covers a sample of 35 European banks that are listed at the EUROSTOXX 600. Regression analysis techniques were used in the analyses. Findings Results indicate that board size, women ratio and independent directors ratio on board are positively and significantly related to environmental social governance (ESG), E and S disclosure scores. Also, we find that ESG disclosure is related to bank profitability. Practical implications Findings have implications for both policymakers and practitioners (bankers and investors). Large bank boards, which have women and independent members, could perform better in terms of ESG disclosure. The results also show that large banks and banks with high borrowing care more about sustainability. For banks to reach resources, they should perform well in terms of sustainability disclosure to their stakeholders. Social implications Banks should observe academic findings on corporate governance (CG) practices, which lead to a better ESG disclosure to structure their CG to improve at the best their disclosure policies: they should prefer larger boards with a high level of women and independence. In addition, we attach importance to the ESG performance of the banking sector due to its fund transfer functions. Banks transfer the deposits they collect to those in need of funds as loans. For this reason, it is important to which sector and which business they give credit. The importance of banks on ESG and their adoption of sustainability dimensions also affect their credit decisions. Originality/value This study examines the relationship between banks’ board structure variables and their effect on ESG, E and S scores separately. This study thinks that the G score can be a handicap for ESG-CG relations. Because chosen CG variables (women ratio, independent ratio, board size) affect G scores positively and can reason for positive ESG-CG relation. The environmental and social impact of women ratio, independent ratio and board size can be seen in this study.

In recent years, European policy makers have ramped up their efforts to create a regulatory framework for improving sustainability in the financial system. We contribute to the on-going debate on Environmental, Social and Governance in the banking sector by providing an organic overview of the European policies put in place. The legislative framework is currently being enriched by policy makers and regulators that are carefully pursuing the objective of a more sustainable economic system, where financial institutions may act as catalysts. We also offer a comparison of the national level regulations for ESG practices in banking institutions and the related disclosure requirements.

Pandemic risks, such as Covid-19, are difficult to insure as they are characterized by multiple factor risks and losses and involve different types of businesses and people simultaneously. The scarcity of time series and statistical data prevents insurers from developing correct pricing. We propose a model of catastrophe risk with Non-Damage Business Interruption (NDBI) policies to manage the pandemic risk due to the spread of Covid-19. The model employs a Monte Carlo simulation of different lockdown scenarios: the frequency and severity distributions of losses of Italian SMEs. The main results show the importance of a Covid-19 lockdown exposure NDBI policy, which benefits not only SMEs but also the insurer.

In this paper, we estimate the probability of a financial institution breaching the Common Equity Tier 1 capital under Basel III rules. We do so by applying the Merton model, where balance sheet data and market data are used to match the probability of default implied by the model with the probability of default implied by market quotations for credit default swaps. We provide an empirical analysis for several banks classified by the Financial Stability Board and the Basel Committee on Banking Supervision as Global Systemically Important Financial Institutions, evaluating how the probability of breaching the Common Equity Tier 1 Capital evolved from 2005 to 2015. We find that higher Common Equity Tier 1 Capital ratios do not necessarily imply lower probabilities of breaching capital requirements and vice versa. We also focus on the asset volatility calibrated according to our model and we find that it appears to be a good proxy for the risk-weighted asset density.

Pandemic risks, such as Covid-19, are difficult to insure as they are characterized by multiple factor risks and losses and involve different types of businesses and people simultaneously. The scarcity of time series and statistical data prevents insurers from developing correct pricing. We propose a model of catastrophe risk with Non-Damage Business Interruption (NDBI) policies to manage the pandemic risk due to the spread of Covid-19. The model employs a Monte Carlo simulation of different lockdown scenarios: the frequency and severity distributions of losses of Italian SMEs. The main results show the importance of a Covid-19 lockdown exposure NDBI policy, which benefits not only SMEs but also the insurer.