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.     

Social aspirations in European banks: peer-influenced risk behaviour

We test a sample of 3,586 banks from 33 European countries to determine whether performances above or below a social aspiration level (median performance of peer banks) influence banks’ aggregate risk levels. Our results are consistent with the behavioural theory of the firm and prospect theory in that we find that bank performance below a bank’s social aspiration level is followed by increased aggregate risk, i.e. risk-taking behaviour in the subsequent year. Although under-performing banks tend to be risk-takers, large banks and banks with high aggregate risk levels tend to limit the increase in their aggregate risk levels.     

In the line of fire: managing expatriates in hostile environments

Abstract

This study explores best practice in the preparation and protection of strategic HRs deployed by Multinational corporations (MNCs) in hostile environments. By building on the literature from the areas of strategic and IHRM, expatriation, as well as risk and crisis management, the limitations and gaps of the extant research are highlighted. This provides a foundation for our investigation through a series of in-depth interviews with corporate executives, and insurers and relocation specialists with professional expertise in protecting and supporting HRs. This represents the first time such a detailed picture of the partnerships between MNCs and the specialists, required to deliver preparation and protection in hostile environments, has been depicted in the IHRM literature. The findings identify the challenges MNCs face when protecting their HRs and highlights the importance of specialist expertise, knowledge, and management. A framework for managing HRs within international hostile environments is subsequently developed offering an opportunity to systematically consider some of the ethical and strategic issues associated with the contemporary challenges of international mobility.     

Computing the Gerber–Shiu function by frame duality projection

Inspired by some works of Kirkby, J. L. [2015. Efficient option pricing by frame duality with the fast Fourier transform. SIAM Journal on Financial Mathematics 6(1), 713–747; 2016. An efficient transform method for Asian option pricing. SIAM Journal on Financial Mathematics 7(1), 845–892], we present a systematic study on effectively computing the Gerber–Shiu function in the Lévy risk model, where the frame duality projection is used for approximation. By introducing an auxiliary function, we provide a smooth extension of the Gerber–Shiu function, which has closed-form Fourier transform and is differentiable over the whole real line under some conditions. The objective function is approximated by its frame duality projection onto a Riesz basis, and the projection coefficients are readily computed by the fast Fourier transform algorithm. Error analysis is made and the effectiveness of our results will be further illustrated in the numerical experiments.     

Contextual Framing and Monetary Incentives in Field Experiments on Risk Preferences: Evidence from German Farmers

Recent studies cast doubt on the ability of abstract experiments to predict decision‐making in the field. Thus, scholars have argued for more ‘realism’ by introducing context to field experiments. Yet, such realism may work against the induced values of monetary incentives in economic experiments. It is an open question whether contextual framing works best with or without inducing values, through methods such as the use of monetary incentives. Using a sample of 146 German farmers, we compare experimentally the predictive power of a framed lottery in an agricultural context vs. using an abstract version. For one half of the sample, lotteries are incentivised; for the other half, they are hypothetical. Although risk preferences differ between treatments, all four lottery tasks correlate poorly with farmers’ real‐world use of risk management instruments such as harvest or hail insurance. Subjects who start with an agricultural framing are willing to take significantly greater risks in the lotteries. More generally, our findings cast doubt on the ability of lottery tasks to predict risk‐taking in the field.     

Operational risk quantified with spectral risk measures: a refined closed-form approximation

The quantification of operational risk has become an important issue as a result of the new capital charges required by the Basel Capital Accord (Basel II) to cover the potential losses of this type of risk. In this paper, we investigate second-order approximation of operational risk quantified with spectral risk measures (OpSRMs) within the theory of second-order regular variation (2RV) and second-order subexponentiality. The result shows that asymptotically two cases (the fast convergence case and the slow convergence) arise depending on the range of the second-order parameter. We also show that the second-order approximation under 2RV is asymptotically equivalent to the slow convergence case. A number of Monte Carlo simulations for a range of empirically relevant frequency and severity distributions are employed to illustrate the performance of our second-order results. The simulation results indicate that our second-order approximations tend to reduce the estimation errors to a great degree, especially for the fast convergence case, and are able to capture the sub-extremal behavior of OpSRMs better than the first-order approximation. Our asymptotic results have implications for the regulation of financial institutions, and may provide further insights into the measurement and management of operational risk.     

A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China

ABSTRACT

As the engine of China’s economy, small enterprises have been the central to the country’s economic development. However, given the characteristics of the small enterprises loan (i.e., short borrowing period, large volume, small amount and incomplete information), it is extremely challenging for financial institutions to assess their creditworthiness. Thus, it seriously delays and restricts the financing access for small enterprises. In an attempt to relieve the financing difficulty of small enterprises, this article makes use of 687 small wholesale and retail enterprises in a regional commercial bank in China, to establish a credit rating indicator system composed of 17 indicators by using both partial correlation analysis and probit regression. It then utilizes TOPSIS together with fuzzy C-means to score the credit ratings of our sample of small enterprises. With the dual test of default discrimination and ROC curve, the prediction accuracy of the established indicator system has reached 80.10% and 0.917, respectively, indicating the robustness and validity of our credit rating system.     

重大事项社会稳定风险评估运行框架研究——以城市新区开发建设为例

针对现行的重大事项社会稳定风险评估中存在的问题,提出建立切实可行的评估运行框架。首次以城市新区为评估对象,以发现问题、分析问题、解决问题为主线,采用定性、定量、定位、定策相结合的分析方法,对城市新区开发建设可能存在的社会稳定风险进行评估,以期实现单纯型评估、粗放型评估向精细化评估的转变。从实践层面来说,对其他新区规划的社会稳定风险评估具有借鉴意义。     

A Historical Review of Postponement Research

This historical review traces the development of postponement research starting in the fifties. The focus is on seven related themes: connecting form and time postponement, conceptual extensions to postponement, decoupling points, design for postponement, customization and mass customization, factors favoring postponement implementation, and postponement in global settings. Within these themes, the review includes concepts such as postponement costs, decoupling points, part commonality, and the impact of demand correlations on the benefits of postponement. The review suggests that substantial progress has been made in postponement research.     

特许权价值、最优关闭策略和存款保险定价

随着存款保险制度的推出以及金融机构退出机制的完善，国家声誉将逐渐退出银行无形资本。在激励相容的金融监管趋势下，特许权价值等市场约束力量会显著影响到商业银行的风险承担。在此逻辑基础上，以我国16家上市商业银行为研究对象，一方面探讨特许权价值影响下不同产权结构的商业银行的最优救助机制，另一方面通过最优救助临界指标，利用银行重组模型，推导合理的存款保险风险差别费率。