Search results

This paper aims to explore the impact of cycle superposition on bank liquidity risk under different levels of financial openness so that banks can better manage their liquidity risk. Meanwhile, it can also provide some ideas for banks in other emerging economies to better cope with the shocks of the global financial cycle.

Employing the monthly data of 16 commercial banks in China from 2005 to 2021 and based on the time-varying parameter vector autoregressive model with stochastic volatility (TVP-SV-VAR) model, the authors first examine whether the cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. Subsequently, the authors investigate the impact of different levels of financial openness on cycle superposition amplification. Finally, the shock of the financial cycle of the world's major economies on the liquidity risk of Chinese banks is also empirically analyzed.

Cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. However, there are significant differences under different levels of financial openness. Compared with low financial openness, in the period of high financial openness, the magnifying effect of cycle superposition is strengthened in the short term but obviously weakened in the long run. In addition, the authors' findings also demonstrate that although the United States is the main shock country, the influence of other developed economies, such as Japan and Eurozone countries, cannot be ignored.

Firstly, the cycle superposition index is constructed. Secondly, the authors supplement the literature by providing evidence that the association between cycle superposition and bank liquidity risk also depends on financial openness. Finally, the dominant countries of the global financial cycle have been rejudged.

The purpose of this study is to (1) improve the spectral features of the second-order uniformly non-oscillatory (UNO) slope limiters, and (2) numerical simulation of the unified-form of generalized fully-coupled saturated thermo-poro-elastic systems in the axisymmetric cylindrical coordinate via cell-adaptive Kurganov-Tadmor (KT) central high-resolution scheme using the UNO limiters.

(1) The spectral features of the UNO limiter are improved by compression-adaptive MINMOD (MM) limiters, achieved by blending different types of MM limiters to achieve less numerical dissipation and dispersion. These blended MM limiters preserve the total variation diminishing (TVD) feature over non-uniform non-centered cells. Also, the spectral features of the central schemes using the UNO limiters are investigated. (2) For the thermo-poro-elastic problem, corresponding first-order hyperbolic system is provided, including flux, source, diffusion and nonlinear terms. Where, there are different interacting components in the source and flux terms. The nonlinear terms are also considered by the Picard-like linearization concept.

Compression-adaptive UNO limiters would be stable over adapted cells with centered and non-centered cells. The benchmarks confirm that both spectral features and numerical accuracy are improved. For the generalized thermo-poro-elastic problem, corresponding responses including the shock waves can properly be captured.

Studying heat effects (e.g. hot fluid or freezing) and explosions on tunnels. Also, the UNO limiters could be used for simulations of various systems of conservation laws.

Although various stakeholder groups frequently advocate and call for greater heterogeneity among directors and managers, it remains unknown whether team heterogeneity can be beneficial for audit committee to exercise the auditor selection functions. This study aims to address this question.

Drawing on a sample of domestically listed nonfinancial A-share firms in China from 2008 to 2022, the authors empirically examine whether and how firm’s audit committee heterogeneity associates with the selection of auditors.

Firms with higher levels of audit committee heterogeneity are more likely to be associated with lower-quality auditors. Further examination reveals the mediating role of risk-taking: higher levels of heterogeneity are associated with higher levels of risk-taking, influencing firms to employ lower-quality auditors. Moreover, the authors document that increased audit committee heterogeneity is associated with more audit committee meetings and lower audit efficiency, and that hiring lower-quality auditors can influence the market value of firms with high audit committee heterogeneity.

To the best of the authors’ knowledge, this study is the first to examine whether and how audit committee erogeneity associates with the selection of auditors. Moreover, because China is a high-power distance, collectivism-oriented, more relations-based (i.e. guanxi-based) than rules-based society, it is critical to examine the influence of team heterogeneity based on the unique cultural context and transitional nature of China’s business environment.

This study aims to investigate a possible transmission mechanism by which the coming of financial technology (FinTech) lending can contribute to enhance the competitiveness of commercial banks and considered to affect banks’ efficiency. In addition, this study also identifies the different responses among bank groups (based on their size, type and ownership) and the joint impact of COVID-19 on the FinTech lending-competition-efficiency nexus.

Using an unbalanced panel data set of 118 commercial banks in Indonesia over the period 2018–2022, static panel (fixed and random effect model) and 2SLS/IV data analysis were used to accommodate possibility of endogeneity problem.

The results, using the stochastic frontier analysis for cost efficiency, show that higher competition leads to cost efficiency, providing evidence to support the quiet life hypothesis. However, the emergence of FinTech lending enhanced bank competitiveness, reducing the cost efficiency of Indonesian commercial banks. The negative relationship between the FinTech lending expansion and the level of cost efficiency supports this finding. Furthermore, different responses were found to the impact of FinTech lending on bank efficiency among different bank groupings. The banks were found to be less efficient in the COVID-19 period due to the coming of FinTech lending. This study signals stakeholders, especially Indonesian commercial banks, to anticipate the impact of higher competition created by FinTech lenders, which leads to bank inefficiencies. Other variables, such as asset growth, profitability and liquidity, positively impact cost efficiency, while the nonperforming loan negatively affects cost efficiency. Finally, a higher bank credit growth and lower inflation rate boost cost efficiency.

This study highlights some policy recommendations for commercial banks to be aware of the coming of FinTech lenders since they moderate the competition-efficiency nexus by reducing the efficiency level. Hence, the government should create a more collaborative ecosystem between banks and Fintech lending and provide legal authority for the FinTech industry to support the acceleration of digital transformation in the Indonesian banking industry.

This study will contribute to the literature by carrying out the transmission from the emergence of FinTech lending to bank efficiency, which includes the moderating role of FinTech lending development on the competition-efficiency nexus in banking.

This study analyzes whether industry relatedness between a corporate borrower and its group peers significantly affects that firm's borrowing cost.

A regression analysis is run on bank-loan data of a sample of Indonesian companies for 2010–2020. The main variables of interest are the natural logarithms of the borrowing firm's number of affiliates classified within either similar 2- or 4-digit GICS industries, and the Caves weighted index of these firms' related diversification. This index measures how firms in a group are diversified in relation to the borrower. The dependent variable is the all-in credit spread, stated in basis points, over the LIBOR or similar benchmark, as of the loan issuance date.

Findings support the industry-relatedness hypothesis and contradict the risk-reduction hypothesis and show that banks charge lower loan spreads on a borrowing firm that either operates within a similar industry as its affiliate or diversifies into related sectors or industries. Consistent with the co-insurance-effect hypothesis, the results also underline the importance of the parent and first-layer firms as supporting instead of the tunneling vehicles within business groups. These conclusions hold even after segregating the sample and using the loan maturity as the dependent variable.

This study uses a unique diversification measurement based on the borrowing firm's sector or industry, relative to other group members, and offers new insights on business group diversification and bank loan costs.

The impact of banking deregulation on firms and economic growth is heavily researched, but not the effects on banks’ risk-taking. This study aims to investigate the impact of China’s 2009 banking deregulation on bank risk-taking, particularly from a balance sheet capacity perspective.

Using a difference-in-differences approach, this study examines how deregulation affects bank risk-taking. A three-stage regression strategy is employed to conduct mechanism analysis.

The results reveal that deregulated banks exhibit higher levels of risk-taking. Mechanism analysis confirms the bank balance sheet capacity channel: deregulation helps strengthen the net interest margin of deregulated banks, which enhances their balance sheet capacity and subsequently increases their risk appetite. In addition, deregulation improves firms’ access to long-term credit in regions with limited credit availability, especially for smaller firms, thereby expanding the financial sector’s service outreach.

While banking deregulation enhances credit availability for firms and supports the real economy, it also raises banks’ risk-taking, posing challenges to financial stability. Our study highlights the trade-off between supporting the real economy and maintaining financial stability under banking deregulation.

This study fills a gap in research on the effects of banking deregulation on bank risk-taking, highlighting the critical role of balance sheet capacity in this process.

The paper examines the impact of market power on wages within the context of a developing country, focusing on Brazil.

With access to matched employer–employee data from Brazil, we first characterized the evolution of the local labor market concentration (Municipality Herfindahl–Hirschman Index [HHI]). Then, we built a fixed-effect model with instrumental variables to verify the association between the local labor market concentration and wages. Finally, a difference-in-difference (DiD) was implemented to verify whether a merger transaction impacted the workers’ earnings in the Brazilian banking sector.

The paper’s findings suggest that there may be a negative relationship between market power and workers’ earnings.

This research conducted an in-depth investigation of the labor market power in a developing country. As far as we know, our work is the first to evaluate the extension of local concentration in Brazilian formal labor markets and to illustrate its evolution over the last decades. Additionally, when going through the effects of market concentration on wages, we use a new identification strategy that explores changes in the HHI that are caused by national trends in an industry as a source of exogenous variation. Finally, the last part of the paper assesses the effects of antitrust policy on the labor market, a kind of investigation that is still scarce.

Over the past 20 years, entrepreneurial ecosystems (EEs) have emerged as a significant research field, inspiring several scholars to provide valuable contributions. The chapter aims to map the current state of literature by highlighting the most prominent research strands and the main theoretical lenses employed in the research field. By carrying out a systematic literature review and bibliometric analysis, the study examines articles published over a period of 27 years. The time frame from 1996 to 2023 offers an extensive outlook of the field’s evolution and current trends, resulting in the identification of five research strands and different future research avenues. From the analysis of prior research works, this study provides an in-depth examination of the complex nature of EEs. The results hold theoretical and practical implications. From the scholars’ point of view, they offer future research directions to move the current level of knowledge forward. From the entrepreneurs’ perspective, they provide valuable insights to address ongoing challenges and catch new opportunities within the dynamic panorama of EEs. Therefore, the insights are poised to drive future research, inform policymakers, and enhance business strategies aimed at fostering resilient EEs. In other words, the purpose is to provide readers with a well-rounded understanding over the state of the literature on EEs and the research strands that deserve further exploration.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

The purpose of this study is to examine the nonlinear relationship between managerial ability and bank liquidity creation and to investigate the role of institutional quality in shaping the managerial ability–liquidity creation nexus.

This study is based on a sample of 126 MENA region banks for the period extending from 2006 to 2020. We apply a dynamic panel threshold method to examine the nonlinearity.

The results reveal that the relationship between managerial ability and liquidity creation is nonlinear and depends on the level of managerial ability. Moreover, using different indicators of institutional quality, the results reveal that the impact of the managerial ability on liquidity creation depends on the institutional quality. More specifically, we find that the impact of managerial ability depends on the level and type of the institution quality indicator.

The nonlinearity between managerial ability and bank liquidity creation shows that the level of managerial ability as well as institutional quality can be a major determinant of the bank liquidity creation.

This paper gives a more complete and detailed image on the relationship between institutional quality, managerial ability and bank liquidity creation using a nonlinear methodology, which extends to the current literature’s insight.