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The recent rise of nonperforming loans (NPLs) in some Asian economies calls for close analysis of the determinants, the potential macrofinancial feedback effects, and the implications for financial stability in the region. Using a dynamic panel model, we assess the determinants of the evolution of bank-specific NPLs in Asia and find that macroeconomic conditions and bank-specific factors – such as rapid credit growth and excessive bank lending – contribute to the buildup of NPLs. Further, a panel vector autoregression (VAR) analysis of macrofinancial implications of NPLs in emerging Asia offers significant evidence for feedback effects of NPLs on the real economy and financial variables. Impulse response functions demonstrate that a rising NPL ratio decreases the GDP growth, credit supply and increases the unemployment rate. Our findings underline the importance of considering policy options to swiftly and effectively manage and respond to a buildup of NPLs. The national and regional mechanisms underlying NPL resolution are important for safeguarding financial stability in an increasingly interconnected global financial system.

The purpose of the paper is to examine the differences in the impact of financial stress in advanced and emerging economies.

The authors employ a panel vector autoregression model (PVAR) for a comparative analysis of the relationship between financial stress, economic growth and monetary stability in 14 advanced and emerging economies. A homogeneous measure of financial stress is constructed and measured as an index that provides signals of stress episodes in an economy.

The impact of financial stress shocks is greater on the economic growth of advanced economies; likewise, financial stress shocks are significant only in advanced economies. The interbank interest rate is negatively affected by financial stress in emerging economies. In general, the results show a clear view of the importance of financial stability and the economic relevance of financial stress measures in the context of macro-prudential regulation.

The results can be extended to monetary policy to implement measures that mitigate the impact of future financial crises.

This paper aims to investigate the impact of corporate governance practices on cost efficiency and financial stability for a sample of Islamic and conventional banks. In the analysis, the author uses a set of corporate governance variables that include, the board size, board independence, director gender, board meetings, board attendance, board committees, chair independence and CEO characteristics.

The author uses corporate governance data of Islamic banks that is unique in this field. In the analysis, the author also uses stochastic frontier analysis and panel vector autoregression models to quantify long-run and short-run statistical relationships between the operational efficiency of Islamic Banks and corporate governance practices.

According to the results, Islamic and conventional banks exhibit important differences in the effects of corporate governance practices on cost efficiency and financial stability. Results show that with a blind general adoption of corporate governance practices, Islamic banks may suffer a loss in their value since the adoption of the third layer of binding practices, over and above the already existing ones, imposed by the Sharia Board and the Board of Directors, may lead to cumbersome business operations. This conclusion is of importance to Islamic Banks since they struggle to survive in a very competitive international environment.

The author believes that the results may be of a certain value to regulators, policymakers and managers of Islamic banks. Based on the results, the author postulate that Islamic banks should select carefully international corporate governance practices.

Islamic banks should not adopt additional third layer of binding practices as that would result lower performance and instability that would be damaging for the economy

This study employs a unique sample of Islamic banks that includes corporate governance data hand collected. Our findings of the corporate governance impact on Islamic banks performance and stability are therefore unique in the literature.

Evidence from previous literature indicates that adopting a new innovative technology has a positive impact on a company’s business performance. Much less work has been carried out into examining whether a technology adoption has impact on corporate reputation. This paper aims to examine the latter topic in a context where social media is the channel used to share news about the introduction of a new technology. The empirical setting of the study consists of five retail companies located in the USA that decided to include Bitcoin as a payment platform.

Twitter data were used to measure how sharing news about the adoption of new technology could affect the reputation of the companies selected, keeping a clear distinction between the volume of data relating to social media responses and the sentiment expressed in the tweets. A panel vector autoregression model was used to incorporate series of data relating to news items, volume and sentiment.

The results show that the news about the adoption of a new technology has a positive impact on both the volume of tech-related tweets and the sentiment expressed in the tweets themselves, although the patterns of these two effects are different. The resulting impact decreases after a few days, both in volume and in sentiment.

The analysis has limitations that future research could address by extending and diversifying the examined companies and the social media used as data sources. The research suggests that managers in medium-sized companies can leverage on the introduction of new technologies that have a direct impact on their customers and gain reputational benefits in terms of immediate visibility.

The research introduces an additional dimension of analysis to the current stream of corporate reputation. Although the literature has already covered the dynamics of response to events on Twitter, by focusing on the adoption of the new Bitcoin technology, the paper provides novel insights.

India’s efforts to achieve large-scale financial inclusion are challenged by growing concerns related to the stability and profitability of the overall banking system. Although a rising dependence on digital finance and the acceptability of wallet-based payments was also visible during the post-demonetisation era and the coronavirus disease 2019 (Covid-19) pandemic, issues related to bank stability and profitability could be addressed through the extension of digital financial services (DFS), making the system more transparent and resilient to internal as well as external perturbations.

The study provides empirical evidence to support the bank digitalisation and extension of DFS to achieve financial inclusion. The impact of digital finance, macroeconomic aspects and microprudential factors (bank specific) on stability is examined for selected Indian banks using quarterly observations spanning 2011Q1–2020Q4. The relationship between banking stability (measured through z-score and Sharpe ratio) is established with digitalisation factors using the instrumental variable regression two-stage least square -based panel regression. Robustness is tested using panel vector autoregression models.

Digital transactions including mobile banking, National Electronic Fund Transfer (NEFT) and Real Time Gross Settlement (RTGS) prove vital and significant in establishing stable banking activity in the Indian context across both public and private banking institutions. Access to broadband services provides a positive impetus in this direction. These issues could be addressed through the extension of DFS making the system more transparent and resilient to internal as well as external perturbations. As an implication, the adoption of innovative means of transaction could empower the financially excluded sections of society.

The novelty of this study is to bring the discussion of digitalisation and bank stability (riskiness) in the Indian context to light. As the first of its kind, this study paves the way for providing an empirical justification for promoting and achieving bank stability through digitalisation in the era of post-demonetisation and Covid-19.

Using textual analysis the authors study the relationship between social media sentiments and stock markets during the COVID-19 pandemic.

The study analysis is based on a sample of 1,616,007 tweets over the period January to June 2021 for seven countries. The authors process the tweets via the VADER analyzer thereby producing both positive and negative sentiment measures.

Particularly, the authors prove that higher positivism is associated with a short-term increase in stock prices. On the other side, negativism relates inversely to stock prices with long-term impact, in the case of English-spoken countries. Notably, the study results remain robust to the inclusion of various control variables, including virtual fear and Google vaccine indexes. Finally, the authors prove that positivism is associated with higher returns and lower volatility in the short-run, while negativism is linked with lower returns in the short run.

The study analysis also has significant policy implications for researchers, investors and policymakers. First, researchers can employ our measures to quantify market sentiments and expand their research arsenal to incorporate social media trends, thus providing better explanatory power. Second, during times of severe uncertainty such as in a pandemic period, investors could beneficially take into account our textual measures and empirical results when using asset pricing models or constructing their portfolios. Third, the finding that the stock market is heavily governed by sentimental behaviors, especially during crisis periods, implies that policymakers including central banks, governments and capital market commissions must consider these sentiments before exerting their policies. In this regard, governments can effectively develop policy tools and approaches to manage recovery from the pandemic, which translates to greater long-term economic resilience. Moreover, central banks should accordingly adjust their monetary policy measures in order to stabilize financial markets, and by extension, to stop the pandemic from turning into a renewed financial crisis. For example, asset purchase program is considered the main instrument of this kind of intervention.

The authors confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. The paper should be of interest to readers in the areas of finance.

The study aims to estimate the impact of the vigilant board independence (BIND) dimension that potentially neutralises the unfair influence of chief executive officer duality (CEODU) on Indian public banks' performance.

The study takes into account the fixed-effects model to investigate the potential moderating effect of BIND in the relationship between CEODU and Indian bank performance. The econometric model is also robust against heteroscedasticity, serial correlation and cross-section dependence issues to ensure that the model is free from such biases. The study also addresses the major issue of endogeneity via vector autoregression and performs the analysis by considering one period lag of the explanatory variables.

The findings demonstrate that CEODU does not always lead to a negative outcome on the performance until or unless the board is monitored by the effective presence of outside directors.

The regulatory bodies consider the results to strengthen board capital where CEODU can benefit a business entity if vigilance BIND is present at or above a threshold point.

The study evaluated an under-researched role of BIND as a moderator that undermines the negative influence of CEODU on the performance of Indian banks. The study also establishes that the CEO's contribution to performance increases when the number of outside directors is at or above a certain threshold.

The purpose of this paper is to investigate the impact of foreign direct investment (FDI) on economic growth in countries in South America. Additionally, the study explores the causal linkage between FDI and growth in the region.

The study employs Pedroni’s cointegration test to examine the long-run relationship between FDI and economic growth in South America. Further, the study employs the vector error correction model (VECM) to examine the long-run relationship, and the causal nexus between FDI and economic growth in South America for the period 1980–2015.

The Pedroni cointegration test establishes a long-run relationship between FDI and economic growth in a panel of ten countries in South America. The long-run estimates of the study find a significant positive impact of FDI on economic growth in the region. The VECM results find a short-run bidirectional causality between FDI and economic growth. The error-term is negative and significant. This indicates the presence of long-run equilibrium relationship among the variables.

Countries in South America should adopt policies that would substantially enlarge FDI inflows to enhance their growth and development.

Numerous studies have examined the impact of FDI on economic growth in the context of Latin America. This study fills a gap in the existing literature by providing an empirical evidence that focuses on South America. This additional perspective could form the basis for the evaluation of the investment policies, and help policymakers to pursue FDI policies that would enhance growth and development in South America.

The design of a macro-prudential framework and its interaction with monetary policy has been at the forefront of the policy agenda since the global financial crisis. However, most advanced economies (AEs) have little experience using macroprudential policies. As a result, relatively little is known empirically about macroprudential instruments’ effectiveness in mitigating systemic risks in these countries, about their channels of transmission, and about how these instruments would interact with monetary policy. This paper aims to fill in the gap.

The authors develop a new approach using the euro area bank lending survey to assess the effectiveness of macro-prudential policies in containing credit growth and house price appreciation in mortgage markets. Estimation is performed under the panel regressions (OLS, GLS) and panel VAR setup. Endogeneity issues arising from measures of macro-prudential policies are addressed by introducing GMM estimation and various instruments.

The authors find instruments targeting the cost of bank capital most effective in slowing down mortgage credit growth, and that the impact is transmitted mainly through price margins, the same banking channel as monetary policy. Limits on loan-to-value ratios are also effective, especially when monetary policy is excessively loose.

With limited data on macroprudential policy measures in the AEs, this paper proposed a new methodology of using answers from bank lending survey as proxies to assess the effectiveness of specific macroprudential measures and their transmission channels.