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We employ three systemic risk measures of banks, including the systemic risk index (SRISK) and marginal expected shortfall (MES) of Brownlees and Engle (2017) and the conditional Value-at-Risk (ΔCoVaR) of Adrian and Brunnermeier (2016), to analyze bank's exposure and contribution to systemic risk in the banking system when a financial crisis occurs. We find evidence that time-varying systemic risk exists, and systemic risk exposures escalate with the interconnectedness of banks. We also find revenue diversification is another significant factor that reduces a bank's exposure to systemic risk but not for banks in Taiwan and Singapore.

In this paper, we search to evaluate the systemic risk of the Moroccan banking sector. Indeed, we concentrate on the analysis and the evaluation on transverse dimension of the systemic. From this point of view, two approaches were used. First is based on the estimate on value at risk conditional allowing to measure the systemic importance of each banking institution. In addition, the second approach uses the heteroscedasticity models in order to consider the conditional correlations, making it possible, to measure the dependence between the Moroccan banks and with the whole of the financial system. The results obtained with through these two approaches confirm that ATW, BMCI and the BMCE are the most systemic banks in Moroccan banking system and who can initiate a systemic crisis. On another register and by using the conditional correlations of each bank we built an index of systemic risk. Moreover, a macrofinancial model was developed, connecting the index of the systemic risk and the principal macroeconomic variables. This model affirmed that the contagion dimension of systemic risk is procyclical.

This study investigates how this pandemic impacted the systemic risk in Indonesia’s Islamic commercial banks (ICBs) and conventional commercial banks (CCBs). The authors use quantitative methods, and systemic risk is measured using value at risk (VaR) and Conditional Value at Risk (CoVaR). This study provides empirical evidence regarding the estimation and determination of systemic risk. By using spillover measures, the authors find a significant increase in systemic risk among the sample banks. The novelty in this research is the measurement of the level of banking risk in the dual banking system in Indonesia. This study makes profound contributions to the literature and suggests various policy recommendations, including identifying essential institutions and testing the benefits of policy responses in containing systemic risk. These findings need to be considered by the government and financial authorities in making accurate regulations and policies.

Systemic banking crises can have devastating effects on the economies of developing or industrialized countries. This paper reviews the factors that weaken banking systems and make them more susceptible to crises. It is the first of two papers examining root causes of banking crises and time-consistent policies for resolving them.

Purpose: In this chapter, the author evaluates the association between bank loan loss provisions (LLP) and the pre-provisions earnings of UK banks during the first-wave of the COVID-19 pandemic. A positive co-movement between the two variables indicates income smoothing.

Methodology: Graphical analysis, correlation analysis and regression analysis are used to assess the relationship between income smoothing and bank provisions among UK systemic banks.

Findings: The findings show that LLP have an inverted V-shaped property during the first-wave of COVID-19 pandemic. LLP reached its highest level at the peak of the pandemic in Q2 2020 and declined in the subsequent quarters. The regression results show that LLP are positively related to pre-provisions earnings during the pandemic quarters and in the pre-pandemic quarters. The relationship is stronger in the pandemic quarters and indicates higher income smoothing in the pandemic quarters. The correlation results also show a strong positive correlation between bank provisions and pre-provisions earnings in the pandemic period. In the individual bank analysis, three of the four systemic banks exhibit higher income smoothing during the pandemic quarters.

Implication: UK systemic banks engaged in earnings management as a coping mechanism to mitigate the effect of the pandemic on their profits.

Need for the study/originality: This chapter is the first to provide a preliminary analysis of income smoothing among banks during the early stages of the COVID-19 pandemic.

Systemic risk has been one of the most interesting issues in banking and financial literature during the last years, particularly in evaluating its effects on the stability of the whole financial system during crises. Differently from other studies which analyze systemic risk focusing on European countries, we explore the determinant of systemic risk in other regional or continental banking systems, as Latin America. Using the CoVaR approach proposed by Adrian and Brunnermeier (2016), we study the impact of corporate variables on systemic risk on a sample of 30 Latin American banks belonging to seven countries, continuously listed from 2002Q1 to 2015Q4. We investigate the contribution of the corporate variables over different economic periods: the Subprime crisis (2007Q3–2008Q3), the European Great Financial Depression (2008Q4–2010Q2), and the Sovereign debt crisis (2010Q3–2012Q3).

The latest financial crisis has stressed the need of understanding the world financial system as a network of interconnected institutions, where financial linkages play a fundamental role in the spread of systemic risks. In this paper we propose to enrich the topological perspective of network models with a more structured statistical framework, that of Bayesian Gaussian graphical models. From a statistical viewpoint, we propose a new class of hierarchical Bayesian graphical models that can split correlations between institutions into country specific and idiosyncratic ones, in a way that parallels the decomposition of returns in the well-known Capital Asset Pricing Model. From a financial economics viewpoint, we suggest a way to model systemic risk that can explicitly take into account frictions between different financial markets, particularly suited to study the ongoing banking union process in Europe. From a computational viewpoint, we develop a novel Markov chain Monte Carlo algorithm based on Bayes factor thresholding.

This paper surveys the literature on economic research in banking. Two streams of empirical research were reviewed. The first stream of empirical research focus on research examining the effect of bank behaviour on economic performance. The second stream of empirical research focus on research on the effect of economic events on bank behaviour and performance. We provide our views about what we have learned from this research and about what else we would like to know.