On the role of Islamic and conventional banks in the monetary policy transmission in Malaysia: Do size and liquidity matter?

This paper empirically investigates the impact of monetary policy on the credit supply of Islamic versus conventional banks of Malaysia using an unbalanced panel dataset over the period 2005-2016. While estimating the effects of three alternative measures of monetary policy on banks' credit supply, we include several bank-specific and macroeconomic variables in the specification as control variables. We provide strong evidence on the existence of the credit channel of monetary policy transmission mechanism in Malaysia. Yet, we show that Islamic banks respond considerably less to changes in monetary policy instruments as compared to their conventional counterparts. We also find that the monetary policy measures affect small-sized banks and less-liquid banks more as compared to large-sized and more-liquid banks. Our findings suggest that for an effective monetary policy, there is a vital need to consider the nature of Islamic banking while devising any monetary policy instruments to manage credit supply in the economy.     

Financial integration and banking crisis. A critical analysis of restrictions on capital flows

We investigate the effect of financial integration on a banking crisis. In contrast to existing works, we allow for capital restrictions while studying the impact of financial integration on a banking crisis. Using firm-level lending and borrowing information in the global market of syndicated loans; we generate aggregate measures of financial integration and examine how countries with capital flow restrictions thrive in the wake of a banking crisis. We concentrate on basic network measures of integration for a panel of 62 countries that allow for capital restriction at any time within the sample period. Financial integration increases the incidence of a banking crisis, and capital restrictions worsen a banking crisis. However, capital restrictions reduce the negative impact of financial integration on the incidence of a banking crisis. Thus, financial integration becomes beneficial when countries allow for some forms of capital control.     

金融压力、所有制结构与银行风险承担——基于中国影子银行活动的实证研究*

2008年金融危机之后，监测与防范系统性金融风险、维护金融稳定成为各国监管机构的工作重点。本文构建了一个反映我国系统性金融风险的中国金融压力指数（FSIC）。基于此，本文研究不同所有制结构的商业银行将如何调整影子银行业务以应对系统性金融风险。实证结果表明，当金融压力上升时，相较于国有银行，非国有银行的风险承担水平显著上升。进一步研究发现，这一差异与两类银行对影子银行这一风险业务的调整有关。当金融压力上升时，国有银行会显著减少影子银行业务，而非国有银行的影子银行业务不会减少。本文提出了国有银行的双重职能这一观点来解释实证研究的发现。本文的研究结论对于指导我国金融市场化改革和防范系统性金融风险具有重要启示。     

Too-Big-To-Fail: Why Megabanks Have Not Become Smaller Since the Global Financial Crisis?

ABSTRACT

More than ten years after the global financial crisis, what has happened to the ‘too-big-to-fail’ (TBTF) banks whose reckless behavior was among its preconditions, but which received public support and guarantees in the midst of that crisis? Insofar as this too-big-to-fail status helped create the crisis and then imposed costs on the rest of society, we would expect these banks to have shrunk. We investigate the evolution of 31 global-TBTF banks and find that their overall size has hardly recorded any substantial change. However, there is no sense of urgency in the flourishing post-crisis literature on TBTF banks about the need to contain their size; the prevalent view therein is that if properly regulated, the risks that arise from a financial system dominated by TBTF banks are manageable. This view rests on the same overly narrow theoretical underpinnings whose flaws were exposed in the crisis. We argue that too-big-to-fail banking is embedded in a set of self-reinforcing policies—consolidation, balance-sheet support through quantitative easing, favorable regulations, bank lobbying, and geo-economic and geo-political considerations—which explain why these banks have not shrunk and why they remain a threat to financial stability, well after the lessons of the crisis should have been learned.     

What is the major determinant of cross-border banking flows?

This study examines the major determinant of cross-border credit flows through global banks across 70 countries. Employing a Bayesian dynamic latent factor model, we decompose volatilities of banking flows into the contribution of a global common factor, regional common factor, and country-specific factor. The results indicate that the global and regional common factor explains about 40–50 percent of volatility in overall cross-border banking flows. In particular, the contribution of the global common factor increased in the 2000s. Simultaneously, main determinants are largely heterogeneous across countries: this implies that the desirable policy response to credit inflows may differ for each host country.     

Impact of shared history on customers’ service evaluations

This paper investigates how shared history affects customers' cultural and personal values and impacts their perception of services’ responsiveness and satisfaction in a high-contact service setting (retail banking) from two countries with a shared history (France & Lebanon). Data were collected from 171 French and 141 Lebanese bank customers. Findings reveal that both cultural and personal values moderate the relationship between responsiveness and satisfaction, and that their impact is independent of each other. Further, findings show that in countries with a shared history, existing cultural models in literature may not be detailed enough to explain cross-cultural differences and similarities.     

An Empirical Segmentation of Users of Mobile Banking Apps

Digital technologies have squeezed the entire world into a small frame. Trade and transactions never stop, and they go where the customer is. Marketers must reinvent their strategies and toolkits to win in this hyper-connected world. Companies are creating new and improved ways for engaging and involving their consumers, and one significant tool now used by companies for these purposes is the app. Mobile phones have registered the highest growth among all technological evolutions, and mobile apps are proliferating. Apps are being used across a diverse range of industry verticals, including banking, e-commerce, travel, and tourism. This article studies a set of twenty different banking apps and segments consumers based on their adoption and usage of the apps. This article emphasizes the role of mobile technologies to change established channels and banking services, and also analyzes how the Indian banking sector has benefited from the adoption of mobile apps.     

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.     

Communication and transparency – The example of the ECB

Communication by central banks has two goals to fulfill: One is to be accountable and transparent to the public for its policy. The other is to make monetary policy by guiding expectations as effective as possible. Diversity of views inside the bank is instrumental for appropriate monetary policy decisions, but creates a tremendous challenge for communication. Central banks dispose of a variety of communication tools. Forward guidance seen as a revolution in central banks׳ communication raises new questions. Not maximum, but optimal transparency should be the final stage to strive for.     

e-banking culture: A comparison of EU 27 countries and Portuguese case in the EU 27 retail banking context

The aim of this research is two-fold. Firstly we conducted a wise comparative analysis of EU 27 countries and secondly we identified distinct e-banking user segments of Portuguese citizens. We used a questionnaire for data collection (n=2358) and Latent Class Models (LCM) for data analysis. LCM revealed three segments in EU 27 (Portugal is in the poorest cluster, concerning the indicators used, with Greece, Spain and Cyprus) and two e-banking user segments in Portuguese citizens: Those who do not risk (49%), and Those who risk (51%). Our findings enable e-banking managers for taking appropriate strategic decisions.