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The purpose of this paper is to provide preliminary efficiency assessment of Arab microfinance institutions (MFIs) within the period 2002–2012. Microfinance is defined as the provision of financial services to poor and low-income households and their microenterprises on a sustainable basis.

The authors first present the main features of microfinance in the Middle East and North Africa (MENA) region. Second, based on a simple of 72 microfinance institutions issued from ten countries of the region, they develop a bootstrap–data envelopment analysis (bootstrap–DEA) framework to measure Arab MFIs’ efficiency. Finally, they apply parametric and non-parametric tests to compare the performance and identify factors that contribute to the efficiency of Arab Islamic microfinance institutions.

Efficiency scores of the MENA region exhibit high variability, both across time and countries. Significant difference in efficiency was found due to MFI age or regulation. Results also reveal the ability of Arab MFIs to combine social and financial performance and their solidity in time of crisis.

In this paper, the authors apply DEA–bootstrap method on a large sample of Arab MFI with special look at the peer group differences. Unlike most previous relevant studies, the paper overcomes many of the drawbacks of the DEA method by using, in addition to the DEA–bootstrap approach, a test of return to scale and a combination of three procedures to detect outliers. Furthermore, this paper analyses the efficiency of MFI in the MENA region in the light of financial crises and Arab Spring.

In this chapter, we investigate the effect of long memory in volatility on the accuracy of emerging stock markets risk estimation during the period of the recent global financial crisis. For this purpose, we use a short (GJR-GARCH) and long (FIAPARCH) memory volatility models to compute in-sample and out-of-sample one-day-ahead VaR. Using six emerging stock markets index, we show that taking into account the long memory property in volatility modelling generally provides a more accurate VaR estimation and prediction. Therefore, conservative risk managers may adopt long memory models using GARCH-type models to assess the emerging market risks, especially when incorporating crisis periods.

Emerging financial markets have largely proven resilient to the consequences of the Global Financial Crisis. While this owes much to the bitter experience and economic strategies developed and implemented following the Asian Financial Crisis of 1997–1998, providence also played a hand in that relatively few of its financial institutions were exposed to the complex structured products that underpinned the demise of many financial intermediaries in the United States and Europe. The objective of this volume is to investigate and assess the impact and response to the crisis in emerging markets from a number of perspectives. These include asset pricing, contagion, financial intermediation, market structure and regulation. Our hope is that the assembled chapters offer clear insights into the complex financial arrangements that now link emerging and developed financial markets in the current economic environment. The volume spans four dimensions: first, a series of background studies offer explanations of the causes and impacts of the crisis on emerging markets more generally; then, implications are considered. The third and final sections provide insights from regional and country-specific perspectives.

The purpose of this paper is to investigate the influence of economic freedom and six relevant subcomponents of it on the risk-taking behavior of banks in the Malaysian dual banking system. It also aims to make a comparative analysis between Islamic and conventional banks operating in this dual banking sector. Moreover, the study is an effort to enrich the existing literature by presenting empirical evidence on the argument that the risk-taking behavior of the two types of banks is indistinguishable given that they operate in the same regulatory environment.

Secondary data of all banks operating in the Malaysian banking sector are collected from FitchConnect database, in addition to the economic freedom index from Foundation Heritage for the period 2011–2017. Generalized least squares technique is employed to estimate the influence of economic freedom and the six relevant subcomponents of it on the risk-taking behavior of banks.

The level of economic freedom influenced risk-taking behavior within the banking sector as a whole, conventional and Islamic banking sectors negatively during the study period (2011–2017). Risk-taking behavior of conventional and Islamic banks is similar. However, conventional banks turn to be less influenced by economic freedom level as compared to Islamic banks.

The government and regulators may benefit from the results by rethinking and setting the best economic freedom index that better serves the stability of the banking system, and lessens banks’ risk-taking inclination.

To the present time, this paper is thought to be of a significant contribution. Given the argument that Islamic and conventional banks behave in the same way. This is one of the first attempts to address this issue in light of the influence of economic freedom and six subcomponents of it on the risk-taking behavior of banks operating in a dual banking system.