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Globally influential Islamic banks from the Middle East and Southeast Asia carry voluminous correspondence banking with banks from China and India, leading to potential spillover effect of contagion among the banks from these regions. This study aims to investigate the Islamic banks systemic risk contagion with major banks from China and India.

Having the option pricing theory in the backdrop, the authors calculated three different distance to risk measurements (default, insolvency and capital). The authors have included top six listed globally influential Islamic banks, top seven Indian banks and top eight Chinese banks based on their net asset value. They then measured the banks’ extreme shocks based on the extreme value theory by using the logistic regression model. These extreme shocks helped the authors to map the spillover among the selected banks from multiple regions.

The authors have found strong evidences of directional risk spillover among the banks in this sample. Islamic banks are receiving a significant risk spillover from the other sample banks but transmitting less toward the other banks from India and China. Hence, there is strong one-directional risk contagion toward the Islamic banks in the study sample.

This research would be particularly useful to the regulators and bankers from emerging and Islamic markets to understand the conniving nature of the crisis by effectively mapping the source, destination and implementation of the shock transmission mechanism of the potential financial contagion.

Even though the corresponding banking among the top Islamic banks from the Middle East and Southeast Asian countries, and banks from India and China, is on the rise, the assessment of risk among these banks has been limited. In particular, the authors extended on the extreme value theory to focus on the wider impact of spillover, including significant direction of contagion from non-Islamic banks to Islamic banks.

In this study, the authors examine the relationships between market-based regulations and corporate carbon disclosure and carbon performance. The authors also investigate whether these relationships vary across emission-intensive and non-emission intensive industries.

The study sample consists of the world's 500 largest companies across most major industries over a recent five-year period. Country-specific random effect multiple regression analysis is used to test empirical models that predict relationships between market-based regulations and carbon disclosure and carbon performance.

Results indicate that market-based regulations significantly and positively affect corporate carbon performance. However, market-based regulations do not significantly affect corporate carbon disclosure. This study also finds that the association between regulatory pressures and carbon disclosure and carbon performance varies across emission-intensive and non-emission-intensive industries.

The findings of this study have key implications for policymakers, practitioners and future researchers in terms of understanding the factors that drive businesses to increase their carbon performance and disclosure. The study sample consists of only large firms, and future researchers can undertake similar studies with small and medium-sized firms.

The results of this study are expected to help business managers to identify the benefits of adopting market-based regulations. Regulators can use this study’s results to evaluate if market-based regulations effectively improve corporate carbon performance and disclosure. Furthermore, stakeholders may use this study to evaluate and improve their businesses' reporting of carbon disclosure and performance.

In contrast to current literature that has used command and control regulations as a proxy for regulation, this study uses market-based regulations as a proxy for climate change regulations. In addition, this study uses a more comprehensive measure of carbon disclosure and carbon performance compared to the previous studies. It also uses global multi-sector data from carbon disclosure project (CDP) in contrast to most current studies that use national data from annual reports of sample firms of specific sectors.

This study aims to examine the systemic risk contagion in banks from 15 US states using extreme shocks in their distance to risk.

The authors contemplate a model that inputs co-exceedances in the base US states’ banking sector as the dependent variable and the co-exceedances in other states’ banking sector (along with other underlying variables of a banking system) as the explanatory variables.

The authors find smaller states transmit and receive more systemic shocks than their larger counterparts and larger states exhibit a better shock-resisting capacity than their smaller counterparts. The authors also find that bigger shocks are more contagious than the smaller shocks.

This will be the first paper that will investigate the inner linkage of US states’ banking network using three different distance to risk methods, thus providing timely guidance for regulators.

The paper aims to investigate the empirical impact of working capital management (WCM) on firm performance (FP) in the emerging markets of Africa. This paper also aims to investigate this relationship during the global financial crisis of 2008 (GFC, 2008).

The sample of this study comprises two leading emerging markets in Africa (Egypt and South Africa) based on the MSCI world market classification list for the period 2007–2020. The study employs various regression techniques such as fixed effect and system generalized method of moments. In addition to baseline regressions, the authors applied various preliminary tests and, finally robustness measures. Besides the dependent, independent variables, the study uses firm-level and country macroeconomic-level explanatory variables.

The study's results indicate that (1) WCM and FP exhibit a direct relationship and (2) the WCM components such as cash conversion cycle, average collection period and the average age of inventory, have a significant inverse relationship, whereas the average payment period has a direct relationship with FP. The robustness results are assessed based on the selection of an alternative proxy for FP measurement, controlling for industry, country, year effect and the exclusion of the GFC 2008.

This study has various implications in terms of theoretical, societal and practical application for practitioners, managers, investors and regulators. In terms of theoretical implications, this is the first study that contributes to the existing body of knowledge in corporate finance and managerial accounting in relation to the examination of this relationship in the African region. Finally, practitioners, including regulators, can benefit from the study's findings while devising investment policies for investors in the region. More specifically, the financial sector conduct authority (FSCA) in South Africa and the financial regulatory authority (FRA) in Egypt can consider these findings to devise financial policies that aim to foster the FP.

Society benefits from the study's findings too. The efficient management of the WCM components will raise firm profits and investment opportunities for the society in Egypt and South Africa. A firm with good performance levels will increase salaries and will provide compensation to their employees in terms of bonuses. These compensations are one of the sources for achieving FP, which is evident from existing literature as well in the case of corporate governance studies. These compensations have psychological impacts as well. As society has its basic needs and goods, compensation levels will be tilted less toward societal ethical issues.

This study has various distinguishing features, which prior studies mostly lack, as most of these studies are on an individual country dataset, shorter periods, mixed results, lesser explanatory variables and no country-related control variables. The authors addressed all these challenges and provided robust results based on various measurement alternatives for the African markets. The study's results confirm a direct relationship between WCM and FP for South Africa and Egypt reflecting the emerging markets in Africa.

Because of the growing financial market integration, China’s stock market’s volatility spillover effect has gradually increased. Traditional strategies do not capture stock volatility in dependence and dynamic conditions. Therefore, this study aims to find an effective stochastic model to predict the volatility spillover effect in the dynamic stock markets.

To assess the time-varying dynamics and volatility spillover, this study has used an integrated approach of dynamic conditional correlation model, copula and extreme-value theory. A daily log-returns of three leading indices of Pakistan Stock Exchange (PSX) and Shanghai Stock Exchange (SSE) from the period of 2009 to 2019 is used in the modeling of value-at-risk (VaR) for volatility estimation. The Student’s t copula has been selected based on maximum likelihood estimation and Akaike’s information criteria values of all the copulas using the goodness-of-fit test.

The model results show stronger dependency between all major portfolios of PSX and SSE, with the parametric value of 0.98. Subsequently, the results of dependence structure positively estimate the spillover effect of SSE over PSX. Furthermore, the back-testing results show that the VaR model performs well at 99% and 95% levels of confidence and gives more accurate estimates upon the maximum level of confidence.

This study is helpful for the investment managers to manage the risk associated to portfolios under dependence conditions. Moreover, this study is also helpful for the researchers in the field of financial risk management who are trying to improve the returns by addressing the issues of volatility estimations.

This study contributes to the body of knowledge by providing a practical model to manage the volatility spillover effect in dependence conditions between as well as across the financial markets.

This study aims to investigate the relationship between the quality and volume of carbon emission disclosures (CED) in UK higher educational institutions (HEIs), with an emphasis on the impact of the Higher Education Funding Council of England (HEFCE) carbon reduction target on such disclosures.

Based on stewardship theory, this study explores the decision usefulness of the CED by HEIs, i.e. whether a larger volume of CED means that it is more useful to readers and stakeholders. A framework was developed to measure the CED quality. The relationships between CED volume and quality were examined using the ordered probit regression model.

CED volume in annual reports and HEFCE carbon reduction target were found to have a significant positive impact on CED quality. There exists a void in research with carbon disclosures by HEIs, an area which has been widely researched with regard to profit-seeking organisations. The study adds to the earlier related studies by its contribution about HEIs to the disclosure literature.

The study is distinct in investigating the relationship between volume and quality of CED by HEIs. However, the impact of CED would need to be clear to motivate the HEIs to engage in such disclosure. Thus, future studies should investigate the impact of both volume and quality of CED on reputation.

The study recognises that the characteristics of HEIs are distinct from profit-seeking organisations, which have been widely researched in literature. Generalising the research studies on profit-oriented companies for the most publicly funded UK HEIs may mislead any outcome. This study is distinct from the reader’s point of view in exploring whether more CED is more useful in better decision-making.