Capital buffer and credit‐risk adjustments in Islamic and conventional banks

The main purpose of this article is to empirically investigate the interactions between changes in capital buffer and changes in credit risk, using panel data of Islamic and conventional banks located in the Middle East and North Africa (MENA) region over the period 1999–2016. A negative two‐way relationship between the changes in capital buffer and the changes in credit risk is found for the two types of banks, that is, banks tend to decrease their capital buffers in response to an increase in risk exposure and limit their risky activities in response to an increase in their capital buffers. Dividing our period of study into three subperiods to assess the effect of the last financial crisis 2007–08 on the adjustment process, we point out the negative bidirectional relationship between the changes in capital buffer and the changes in credit risk of the two types of banks is present for the three subperiods except the case of conventional banks during the precrisis period. Moreover, we provide evidence that Islamic banks adjust their capital buffer in response to the changes in credit risk regardless of the existence or not of a deposit insurance scheme. In contrast, the negative two‐way relationship between the changes in capital buffer and the changes in credit risk in conventional banks is found only in countries without deposit insurance schemes.     

审计师地理距离对客户公司股价信息含量的影响

从地理经济学视角分析审计师的地理区位特征对上市公司股价信息含量的可能影响，利用2004—2013年中国A股上市公司的数据，实证检验了审计师与客户间的地理距离对客户公司股价信息含量的经验影响关系，并进一步考察了证券分析师与审计监督两种中介组织间的交互效应。研究发现：（1）审计师与客户公司间的地理距离越小，客户公司的股价信息含量越低，因为在中国当前经济社会背景下，地理邻近对审计师独立性的消极影响要强于其对审计师专业胜任能力的积极影响，这导致审计师审计质量降低，影响客户公司股价信息含量；（2）证券分析师对客户公司的关注程度越高，审计师的地理邻近性对客户公司股价信息含量的负面影响越弱，表明证券分析师与外部审计之间主要呈现一种相互替代的关系，证券分析师可以作为一种有效的补充监督机制。     

异常审计费用、审计质量与IPO定价——基于A股市场的分析

以A股市场2006—2012年IPO公司为研究对象，探讨异常审计费用与审计质量的相关性及其在IPO定价中的作用。结果发现：对全样本，异常审计费用与IPO抑价水平显著负相关，与可操纵性应计利润的绝对值和股票上市后的长期市场表现不相关；当考虑异常审计费用的方向时，正的异常审计费用与IPO抑价水平、可操纵性应计利润的绝对值显著负相关，与股票上市后的长期市场表现显著正相关，而负的异常审计费用与三者的相关性均不显著。这表明作为会计师事务所努力程度的体现，正的异常审计费用不会损害审计质量，相反在一定程度上能提升审计质量。因此，监管部门应更多地关注审计收费不足所存在的风险。     

Corporate environmental reporting: Are French firms compliant with the Task Force on Climate Financial Disclosures' recommendations?

This article deals with the practices of French corporate environmental disclosure with a focus on climate-related risks. In particular, it aims to analyse the compliance of CAC 40 firms with the recommendations of the Task Force on Climate-related Financial Disclosures (2017), an international initiative made up by Financial Stability Board to enhance financial transparency. On the basis of a content analysis of firms' reference documents spanning 2015–2018, we constructed the Climate Compliance Index (CCI) to evaluate whether firms disclose information on climate risks and opportunities about governance, strategy, risk management and metrics. Our results highlight a gradual increase of the CCI despite disparities across sectors and management areas. The content analysis allows us to develop a set of indicators frequently reported by domain and to identify and define climate risks and opportunities and their financial impacts per sector, which is a first step to improve the disclosure of non-financial information.     

Bank Income Diversification,Asset Correlation and Systemic Risk

This paper explores whether the asset correlations among the non-interest activities of banks are the key causes for enhancing the bank diversification-systemic risk nexus. Our empirical evidence indicates that banks' income diversification significantly raises systemic risk. After removing those banks with high asset correlations, the effect of individual banks' diversification on banking systemic risk turns insignificant or even inverse. The results show that high asset correlations among banks could introduce bank failures, thereby leading to higher systemic risk in the financial sector.     

Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.     

Risk spillover between Bitcoin and conventional financial markets: An expectile-based approach

In order to challenge the existing literature that points to the detachment of Bitcoin from the global financial system, we use daily data from August 17, 2011–February 14, 2020 and apply a risk spillover approach based on expectiles. Results show reasonable evidence to imply the existence of downside risk spillover between Bitcoin and four assets (equities, bonds, currencies, and commodities), which seems to be time dependent. Our main findings have implications for participants in both the Bitcoin and traditional financial markets for the sake of asset allocation, and risk management. For policy makers, the findings suggest that Bitcoin should be monitored carefully for the sake of financial stability.     

Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market

This paper focuses on the horse race of weekly idiosyncratic momentum (IMOM) with respect to various idiosyncratic risk metrics. Using the A-share individual stocks in the Chinese market from January 1997 to December 2017, we first evaluate the performance of the weekly momentum based on raw returns and idiosyncratic returns, respectively. After that the univariate portfolio analysis is conducted to investigate the return predictability with respect to various idiosyncratic risk metrics. Further, we perform a comparative study on the performance of the IMOM portfolios with respect to various risk metrics. At last, we explore the possible explanations to IMOM as well as risk-based IMOM portfolios. We find that 1) there are prevailing contrarian effect and IMOM effect for the whole sample; 2) the negative relations exist between most of the idiosyncratic risk metrics and the cross-sectional stock returns, and better performance is linked to idiosyncratic volatility (IVol) and maximum drawdowns (IMDs); 3) additionally, the IVol-based and IMD-based IMOM portfolios exhibit better explanatory power to the IMOM portfolios with respect to other risk metrics; 4) finally, higher profitability of IMOM as well as IVol-based and IMD-based IMOM portfolios is found to be related to upside market states, high levels of liquidity and high levels of investor sentiment.