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Commercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies.

By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model.

Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis.

A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability.

The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.

The purpose of this study is to analyze and forecast the financial sustainability and resilience of commercial banks of Bangladesh in response to the negative effects of COVID-19 pandemic.

Eighteen publicly listed commercial banks of Dhaka Stock Exchange (DSE) have been taken as a sample for this study. To measure the riskiness of banks' credit portfolio, nine industries of DSE have been considered to determine probable loss of revenue arising from the COVID-19 pandemic shock. Moreover, two commonly used multiple-criteria-decision-making (MCDM) tools namely TOPSIS method and HELLWIG method have been used for analyzing the data.

Based on the performance scores under TOPSIS and HELLWIG method, banks are categorized into three groups (six banks each) namely top resilient, moderate resilient and low resilient. It is found that EBL and DBBL are the most resilient banks, and ONEBANK is the worst resilient bank in Bangladesh in managing the COVID-19 pandemic shock.

This study concludes that banks with low capital adequacy, low liquidity ratio, low performance and higher NPLs are more vulnerable to the shocks caused by the COVID-19 pandemic. The management of commercial banks should emphasize on maintaining higher capital base and reducing default loans.

Resilience of the Bangladeshi banking sector under any adverse economic event has been examined by only using stress testing approach. This study is empirical evidence where both TOPSIS and HELLWIG MCDM methods have been used to make the result conclusive.

The purpose of this paper is to provide empirical evidences on the impact of financial shocks on the Islamic banks vis‐a‐vis the conventional banks. Based on the Malaysian experience over two major financial crises, namely the 1997 Asian financial crisis and 2007 financial crisis, the study aims to test the validity of the proposition that the Islamic banks are more resilient to the financial shocks compared to the conventional banks.

Focusing on the Malaysian data covering three sub‐periods, namely, the 1997 Asian financial crisis period (July 1997‐September 1999), the non‐crisis period (October 1999‐June 2007) and the 2007 financial crisis period (July 2007‐September 2009), the study employs the impulse response functions and variance decomposition analysis based on the vector auto‐regression (VAR) method.

The results indicate that both the Islamic and conventional banking systems are vulnerable to financial shocks. This is contrary to the popular belief that the Islamic financial system is sheltered from the financial shocks due to its interest‐free nature.

The results of this study have important implications for the risk management practices of both the Islamic and conventional banks.

This paper contributes in providing the empirical evidence on the impact of financial shocks on the Islamic banks. To the authors' knowledge, there have been no studies comparing of the impacts of the two major financial crises on the Islamic banking sector.

The increased capital requirements and the implementation of new liquidity standards under Basel III sparked various concerns among researchers, academics and other stakeholders. The question is whether Basel III regulation is ideal, that is, adequate to deal with a crisis, such as the 2007–2009 global financial crisis? The purpose of this paper is threefold: First, perform a stress testing exercise on the US banking sector, while examining liquidity and solvency risk indicators jointly under the Basel III regulatory framework. Second, allow the study to cover the post-crisis period, while referring to key Basel III regulatory requirements. And third, focus on the resilience of domestic systemically important banks (D-SIBs), which are supposed to support the US financial system in times of stress and therefore whose failure causes the entire financial system to fail.

The authors used a sample of the 24 largest US banks observed over the period Q1-2015 to Q1-2021 and a scenario-based vector autoregressive conditional forecasting approach.

The authors found that the model successfully produces accurate forecasts and simulates the responses of the solvency and liquidity indicators to different real and historical macroeconomic shocks. The authors also found that the US banking sector is resilient and can withstand both historical and hypothetical macroeconomic shocks because of its compliance with the Basel III capital and liquidity regulations, which consist of encouraging banks to hold high-quality liquid assets and stable funding resources and to strengthen their capital, which absorbs the losses incurred in a crisis.

The authors developed a framework for testing the resilience of the US banking sector under macroeconomic shocks, while examining liquidity and solvency risk indicators jointly under Basel III regulatory framework, a point not yet well studied elsewhere, and most studies on this subject are based on precrisis data. The authors also focused on the resilience of D-SIBs, whose failure causes the failure of the entire financial system, which previous studies have failed to examine.

Due to its high leverage nature, a bank suffers vitally from the credit risk it inherently bears. As a result, managing credit is the ultimate responsibility of a bank. In this chapter, we examine how efficiently banks manage their credit risk via a powerful tool used widely in the decision/management science area called data envelopment analysis (DEA). Among various existing versions, our DEA is a two-stage, dynamic model that captures how each bank performs relative to its peer banks in terms of value creation and credit risk control. Using data from the largest 22 banks in the United States over the period of 1996 till 2013, we have identified leading banks such as First Bank systems and Bank of New York Mellon before and after mergers and acquisitions, respectively. With the goal of preventing financial crises such as the one that occurred in 2008, a conceptual model of credit risk reduction and management (CRR&M) is proposed in the final section of this study. Discussions on strategy formulations at both the individual bank level and the national level are provided. With the help of our two-stage DEA-based decision support systems and CRR&M-driven strategies, policy/decision-makers in a banking sector can identify improvement opportunities regarding value creation and risk mitigation. The effective tool and procedures presented in this work will help banks worldwide manage the unknown and become more resilient to potential credit crises in the 21st century.

This research aims to design a comprehensive resilience model in the banking industry for identifying the dimensions and components that can enhance organizational resilience in the industry, which can contribute to the existing literate as a promising comprehensive model.

After reviewing the literature and studying the models of organizational resilience, semistructured interviews were conducted with managers and prominent experts in the banking industry. To analyze the interviews, the thematic analysis technique was used with three coding stages. After designing the research model in two main dimensions of micro and macro management in the banking industry, the relation between the main components and subcomponents was identified by using Interpretive Structural Modeling (ISM) and DEMATEL techniques.

The study findings indicating that proper observation and predicting the bank's problems and making suitable connections with the government are two major indicators of the resilience of the banking network, which can realize through influencing the components of risk management, financial resource management and system corruption. The results of this research can lead to the expansion of theoretical foundations of the past research and the concept of organizational resilience in the field of financial services and especially the banking industry.

This paper provides the components with a more significant impact, which bank managers should consider the relationship among them to enhance organizational resilience for more effectiveness of their decisions.

This study investigates the inter-relationships among liquidity creation, bank capital and credit risk in selected emerging economies between 2012 and 2016.

A three-step procedure as proposed by Berger and Bouwman (2009) is used to measure liquidity creation. Thereafter, a simultaneous equations model with the generalized method of moments (GMM) estimator is used to examine the links between liquidity creation, bank capital and credit risk.

The findings indicate that bank capital and credit risk affect each other positively after controlling for liquidity creation. Also, the findings show a negative impact of credit risk on liquidity creation while our findings do not find any evidence to confirm the reverse relationship between them. Furthermore, the findings demonstrate a two-way negative relationship between liquidity creation and bank capital in these emerging economies. Finally, the results indicate a positive relationship between capital and credit risk, especially in the case of small banks in the sample.

The findings suggest that the trade-off between the benefits of financial stability induced by tightening capital requirements and those of improved liquidity creation has crucial implications for policymakers and bank regulators in making the banking system more resilient. A positive impact of capital on credit risk emphasizes that the authorities in selected emerging economies should put more attention on small banks to ensure their exposures under target control.

This is the first study that examines the dynamic interrelationships among liquidity creation, bank capital and credit risk in the Asia–Pacific region.

In the economic literature, a crisis has been thematically defined around bank runs, failure of large financial corporations, and financial distress. Section 1 summarizes our learnings about international banking crisis, in terms of the origin and impact of such crises. This provides us an international benchmark before we delve deeper into India's banking distress, its size and trends. Section 2 focuses on the twin-balance-sheet crisis in India. On one side, corporate firms recklessly overleveraged, resulting in excess capacities and business diversification. On the other side, banks, both private and public, fell prey to excessive and procyclical credit lending and improper monitoring. Overall, too many projects were left too weakly monitored. Separately, we have focused on two subsections, first, how the financial institutions in India have overstretched their credit-disposal limit during market upturns. Second, we found absence of any theoretically grounded approaches to determine the capital-adequacy ratios (CARs) for the banks. In Section 3, we have identified the steps taken so far by the Banking regulator and the Government to resolve the crisis. Further, we critically examine the role of Korea Asset Management Corporation (KAMCO) towards a successful non-performing assets (NPAs) resolution in South Korea. Few key takeaways include, (1) establishing a public asset-management company (AMC) focused on maximization of recoveries and resolution of stressed assets, (2) well-defined governance structure for the AMC ensuring it works on market principles, shielded from political interferences, and (3) realistic asset valuation and transfer price that ensures limited downside risks for the public AMC.

The purpose of this paper is to investigate the performance of Islamic banks in developing countries from 2007 to 2010 which includes the period of the financial crisis by empirically examining the way in which the macroeconomy affected Islamic banking performance (IBP) in developing countries. The empirical examination involves two approaches of measuring performance: Sharia-based and conventional-based performance measurement.

For this paper, the authors have utilized a Data Stream/Bank Scope database and data from the Bank Negara Malaysia (Malaysian Central Bank) to collect a panel set of annual financial information for Islamic banking from the year 2007-2010. The initial sample covers 34 Islamic banks from developing countries that are listed on the International Islamic Service Board. Furthermore, the authors adopted only those listed Islamic banks to tackle the data availability issue. The authors’ final sample comprised 136 observations with complete data as the numbers of Islamic banks in developing countries are low in comparison to their conventional peers. The financial crisis dummy follows America’s commonly used National Bureau of Economic Research timeline for the financial crisis. The authors also used the method of a generalized least square (GLS) method of pooled panel data analysis regression model. The rationale for employing the GLS technique was made on the basis of the ability of GLS to give less weight to the error term that is closely clustered around the mean, to improve the goodness of fit and to remove autocorrelation compared with normal, random, and fixed effect models.

The authors of this paper found that the macroeconomic factors reflected in gross domestic product, gross domestic product growth, and inflation rate have a significant positive relationship with the return on assets. In addition, a significant negative relationship was found between the financial dummy and IBP in developing countries. On the other hand, it failed to find evidence of a relationship between the macroeconomic factors and performance including the legal system and the financial crisis dummy, when the performance is reflected by the Zakat ratio. The result embedded that the financial crisis had an impact on the performance of Islamic banks in developing countries when viewed from the conventional banking perspective. The financial crisis played a role in reducing the profitability of Islamic banks which is consistent with a previous study by Hasan and Dridi (2011). However, in the view of Sharia, the financial crisis did not have any effect on IBP; even the macro factors did not have any effect on the level of performance.

There are possible explanations for these contradictory coefficient signs. First, the contradictory signs of the coefficient for the same independent variable that was regressed with different dependent variables show that researchers would need to take caution in using the right indicators when measuring IBP. Conventional indicators bring different results in comparison to Islamic indicators (Badreldin, 2009; Mudiarasan. Kuppusamy, 2010; Zahra and Pearce, 1989). Second, Richard et al. (2009), having reviewed performance measurement-related publications in five of the leading management journals (722 articles between 2005 and 2007), suggested that the past studies reveal a multidimensional conceptualization of organizational performance with limited effectiveness of commonly accepted measurement practices. Accordingly, these studies call for more theoretically grounded research and debate for establishing which measures are appropriate in a given research context. Today, there is a general consensus that the old financial measures are still valid and relevant (Yip et al., 2009). However, these need to be balanced with more contemporary, intangible, and externally oriented measures. It has been argued that various researchers working in their own disciplines using functional performance measures (such as market share in marketing, schedule adherence in operations and so on) ought to link their discipline to focused performance measures of overall organizational performance.

Islamic banking has unique characteristics in comparison to conventional banking and this paper examines the differences between the two and also investigates the resilience of Islamic banks during a period of economic turbulence. Furthermore, due to these unique characteristics, a comparison cannot be made by using the conventional performance measures alone. In addition, amid the in-depth studies examining the resilience of Islamic banks during periods of economic crises, there are instances of theoretical disagreement in the extant empirical literature examining finance and economics. In that regard, the majority of the existing literature is either based on advanced markets or countries where the majority of the population practices the faith of Islam, and little is known about the performance of Islamic banking from the pooled emerging markets; particularly in developing countries.

Introducing Zakat as a performance measurement in Islamic banking context relating it to macroeconomic factors enhances the thinking of new research in Islamic theory about bank performance.

The purpose of this paper is to investigate how bank-specific factors affect the riskiness of conventional and Islamic banks in response to shocks in major financial indices as market conditions change.

The authors use a multivariate quantile model using daily equity returns data to analyze financial risk spillovers in the values at risk that may occur between major financial indices and the equity prices of conventional and Islamic banks worldwide. Then, using both quantile and quantile-on-quantile models, the authors examine the effects of bank-specific variables such as leverage ratio, bank size, return on equity and capital adequacy ratio on the initial impact of shocks in major global financial indices on bank equity price returns at different quantiles of shocks and bank-specific variables.

The findings reveal that major financial indices can predict bank stock returns. Moreover, the authors find that the effect of bank-specific factors on the riskiness of banks is heterogeneous in that it depends on the bank type (Islamic vs conventional), the level of banking variable (high vs low) and, more importantly, market conditions.

To the best of the authors’ knowledge, this is the first study that compares the dual banking system with stock market performance while considering bank-specific variables as market conditions change. The results of this study reveal that the effect of bank-specific variables on bank performance varies according to different quantiles of shocks and bank-specific variables. Islamic banks may echo or differ from conventional banks depending on the specific factor under investigation.