Capital Regulation with Two Banking Sectors: Cyclicality and Implementation

We present a capital regulation policy in a model in which banks can choose to be unregulated, by operating in the shadow banking sector, when the cost of being regulated (restriction on portfolio risk) exceeds the benefit (cheaper funding/insurance). We show that the welfare maximizing capital requirement policy can be procyclical: lower requirement during booms and higher requirement during recessions. Our policy specifies the level of capital requirement as a function of the observed relative size of the unregulated and regulated banking sectors. This specification achieves the optimal aggregate risk exposure by obtaining the right mix of the two sectors.     

Political hazards and firms' geographic concentration

Research summary : We examine the relationship between the geographic concentration of a firm's sales and the firm's vulnerability to expropriation hazards. Although expanding outside the home location can initially increase a firm's exposure to government expropriation, we find that this effect reverses when a firm's sales outside its home location have reached a point at which it has sufficient resources to better influence government actions and to pose a credible threat to exit the market in which it is being targeted. We supplement this main result by identifying two moderating factors: the firm's level of political capital and the effectiveness of institutional constraints on government behavior. We find support for these hypotheses from survey data on privately owned enterprises in China. Managerial summary : This research advises firm managers that certain market activities might knock their firms' economic interests out of alignment with the government's political interests, and thus, influence the political hazards they face, particularly in emerging markets such as China, which has attracted strong interest of many firms with respect to entering the market. Here, all else being equal, the firms' geographic concentration exposes them to different levels of state expropriation—but not in a simple linear fashion as suggested by the conventional wisdom of local protectionism or that of the bargaining advantage generated by the threat of relocation: Those who are “stuck in the middle” ended up paying twice or even three times as much unauthorized levies as the purely local or the most expansive firms. Copyright © 2015 John Wiley & Sons, Ltd.     

The determinants of commercial banking profitability in low-, middle-, and high-income countries

Using a broad bank-level dataset and the GMM estimator technique described by Arellano and Bover (1995), this paper analyses how bank-specific characteristics, macroeconomic variables, and industry-specific factors affect the profitability of 10,165 commercial banks across 118 countries over the period from 1998 to 2012. Grouping the countries according to three income levels, we show that the determinants of bank profitability included in our model can explain existing profitability differences among commercial banks in low-, middle-, and high-income countries. The profitability determinants vary quite widely across the different levels of income in terms of significance, sign and size of the effect. The level of income has thus an important impact on the determinants of bank profitability.     

Bank competition,concentration and financial stability in the Turkish banking industry

This paper analyzes the impact of competition and concentration on bank stability in the Turkish banking industry over the period 2002–2012. The Boone indicator and the efficiency-adjusted Lerner index are used as proxies for competition, while the non-performing loans (NPL) ratio and Z-scores are used as proxies for bank stability. The main results indicate that competition is negatively related to the NPL ratio but positively related to the Z-score. The results further indicate that greater concentration has a positive impact on the NPL and a negative impact on the Z-score. We also use a quadratic term of the competition measures to capture a possible non-linear relationship between competition and stability. The results show that the coefficient of the quadratic term is negative for the NPL model and positive for the Z-score model. Overall, our findings provide support for the competition-fragility view.     

Information Sharing and Financial Sector Development in Africa

This study investigates the effect information sharing has on financial sector development in 53 African countries for the period 2004 to 2011. Information sharing is measured with private credit bureaus and public credit registries. Hitherto unexplored dimensions of financial sector development are employed, namely: financial sector dynamics of formalization, informalization, and non-formalization. The empirical evidence is based on Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM). The following findings are established. Information-sharing bureaus increase (reduce) formal (informal/non-formal) financial sector development. In order to ensure that information-sharing bureaus improve (decrease) formal (informal/non-formal) financial development, public credit registries should have between 45.45 and 50% coverage while private credit bureaus should have at least 26.25% coverage.     

Risk-Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia Using Dynamic OLS and Two-Step Dynamic System GMM Estimators

This study is the first attempt to investigate the relationship between the level of risky assets and capital level in a mixed Malaysian banking system covering 83 months starting December 2006. The results of dynamic ordinary least squares indicate positive relationship between capital ratio (CAR) and risk-weighted asset ratio (RWA) in the long run. Furthermore, the causality analysis based on panel vector error correction model (VECM) and two-step dynamic system generalized method of moments indicates unidirectional causality from CAR to RWA. Our results further suggest that higher capital growth and capital buffer provide an extra cushion for the Malaysian banks to pursue relatively riskier financial activities, and the nature of risk-taking behavior of Islamic banks follows that of the conventional banks.     

Dual market competition and deposit rate setting in Islamic and conventional banks

This paper addresses the issue of competition in dual banking markets by analyzing the determinants of deposit rates in Islamic and conventional banks. Using a sample of 20 countries with dual banking systems over the 2000–2014 period, our results show significant differences in the drivers of Islamic and conventional banks' pricing behavior. Conventional banks with stronger market power set lower deposit rates but market power is not significant for Islamic banks. In predominantly Muslim environments, conventional banks set higher deposit rates and further higher when their market power is lower. Whereas conventional banks are influenced by the competitiveness of Islamic banks, Islamic banks are only affected by their peers in predominantly Muslim countries. Our findings have important implications regarding competition and bank stability in dual banking markets.     

Success factors in a CRM strategy: technology is not all

Organisations today need to create, maintain and reinforce relationships with customers. Customer Relationship Management (CRM) seems to have helped firms to better understand their relationships. However, past studies have looked at technology and customer orientations (COs) as key factors. This paper aims to analyse the simultaneous effect of Market Orientation (MO) (rather than CO), Knowledge Management (KM) and other organisational factors in order to explain how to implement a successful CRM. Findings suggest that MO and KM may influence CRM success. Data also suggest that particular organisational factors such as employees, leadership and specific know-how may be key factors in determining the success of CRM. For efficiency resource management, this paper recommends to focus not as much in technology, but on programmes for selection, training and motivation of employees which may enhance CRM objectives. Companies may also pursue a higher customer value by putting in place and reinforcing KM schemes in specific know-hows about CRM.     

Systemic risk and dynamics of contagion: a duplex inter-bank network

This paper constructs a duplex banking network formed by credit relationships and information interaction via the banks’ balance sheet to model the structure of systemic risk and investigate the dynamic mechanism of contagion in terms of default and liquidity infection along with the factors that affect the extent of the contagion. We systematically explain the role that duplex banking networks play in different aspects of risk contagion. Through theoretical analysis and simulations, we conclude that asymmetric information interaction would increase the inflexibility of the system, which leads to liquidity shortage and possibly the collapse of the whole market. The weakness of systemic risk in the interior of the complex banking system can be characterized by the partial discount factor using illiquid assets in the information network. By improving the connectedness of the information network of the duplex networks, the spread of contagion can be partially slowed.     

Predicting Internet banking adoption in India: a perceived risk perspective

The emergence of Internet banking has transformed the banking systems across the globe. As a channel to market, Internet banking allows geographical constraints to be overcome by offering various products and services at lower customer costs. An understanding of the factors influencing customer adoption of Internet banking is both relevant and timely. This study integrates technology acceptance model and perceived risk theory in understanding Internet banking acceptance among Indian bank account holders. Specifically, this study categorizes perceived risk as external risk and internal risk, and examines its influence on customer beliefs and adoption of Internet banking. Using two-step predictive analytics of structural equation modeling and artificial neural network analysis, the 270 responses reveal that both external risk and internal risk inhibit customer acceptance of Internet banking. More importantly, neural network analysis reveals that perceived ease of use and external risk are two important factors determining how well Internet banking is accepted by customers. The implications of the study findings and future research directions are presented.