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Sukuk is a highly appealing alternative instrument of conventional bond in the financial market over the last two decades. To a certain extent, the market players assume sukuk as the same as bond. However, sukuk has its own fundamental asset backed principles, whereas bond is backed by debt. The objective of the study is to examine the Granger-causality and lead–lag relationship between sukuk and bond by using the data of the Malaysian Government securities return for both conventional and Islamic instruments. The data for every working day of 7 years covering the period from January 31, 2007 to December 31, 2013 were collected from Bloomberg database. The yield returns of both securities have been plotted for each six months of a year. This study applied both Granger-causality and dynamic co-movement techniques such as, continuous wavelet transforms (CWT) coherence for analyzing the temporal evolution of the frequency content of both securities by decomposing each period into different time scales. The empirical findings of the paper reveal that with a bit of exception, there is a causal relationship between sukuk securities and conventional bonds for a given period of time. For robustness, this study applied the wavelet coherence approach and found that bond is led by sukuk in the long term investment horizon rather than in the short term. Our findings relating to the lead-lag relationship between sukuk and bonds have important implications in terms of policy regulations and investment management. Future research and market practices could reinvestigate the differences between these two securities across different markets and types.

Due to increased globalization and economic integration in the global economy, contagion effects have been considered an important matter for the investors and policymakers. In the wake of the global financial crisis of September 2008, Islamic financial products were thrust into the spotlight as alternatives to the shaken conventional equity markets. The objective of this study is to discover the Islamic stock market dynamics of Bangladesh with the global Islamic stock markets such as Saudi Arabia, UAE, Kuwait, Europe, UK and Japan. For understanding long run relationship or the theoretical relationships among the Islamic stock market and short run co-movements among Islamic stocks, Johansen co-integration test and Vector Error Correction model (VECM) have been applied respectively. Furthermore, the investigation on short run dynamics is also carried through Impulse Response Function (IRF) analyses. The study found that the Japanese Islamic Stock market is affected to changes in other Islamic stock markets while Kuwait stock market is the leader in the sense it affects other stock market greatly. Bangladeshi Islamic stock market is found to be marginally affecting other stock markets but not as strong as Kuwait. Global Islamic stock market seems to have very little impact to Bangladesh Islamic stock market. The evidence of co-integration and short run dynamics help a diversification benefit may be derived from the cross boarder investment. The empirical evidence of co-integration and short run dynamic relationship found in this study will help investors in making efficient investment decisions and also enhance their understanding of market behavior.

This study is the first attempt to conduct a comparative analysis of the internal and external determinants of the Islamic banks’ profitability in the GCC region applying dynamic GMM, quantile regr...

The growing literature on volatility spillover and shock transfer between energy and food prices largely ignored the nonlinearities in the volatility patterns. This study evaluates the nonlinear interaction and co-movement between world energy prices and world food prices, including their individual components. Using monthly data from 1992 to 2017, we used Nonlinear Autoregressive Distributed Lag (NARDL) to investigate the short-term and long-term dynamics of food prices concerning the positive and negative shocks in energy prices. The result indicates that the impact of energy prices on food prices is asymmetric. A positive change in energy prices has a higher and long-lasting effect on agriculture commodity than a negative change. The wavelet coherence analysis suggests that a statistically significant lead-lag relationship exists. Both wheat and corn prices lead by energy prices. The relationship is rather long-run than the short-run, as we find the most dominant frequency is the 16th month and remains positive until the 64th month. Interestingly, we also observe that in the long-run, rice price lead oil and coal price. For the robustness test, we consider fertilizer and diesel as the control variables and find a similar asymmetric relationship with food prices.

The internal factors of the bank have a great influence on the profitability of the banks. This study is an effort to disclose the effect of bank’s internal factors on return on equity (ROE), return on asset (ROA), and net interest margin (NIM) of ten selected commercial banks in Bangladesh for the period of 2011-2015. Researchers used descriptive statistics, correlation and regression analysis as statistics tools to find out the results. The findings from descriptive statistics indicate that Eastern Bank Limited was ranked first regarding profitability. The correlation test found that total equity to total asset ratio (TETA) and cost to income ratio (CIR) significantly affects the ROA whereas loan to deposit ratio had significant positive effect on the NIM of the banks. The regression analysis revealed that the independent variables of the banks were significant enough to explain the variation of the dependent variables (ROA, ROE, and NIM) of the study. JEL Classifications: G 21 Handle: http://hdl.handle.net/20.500.11903/abr.v7n1.1

Net interest margin (NIM) of a bank depends on several firm-specific factors. The aim of the study was to determine the effect of liquidity risk on the profitability indicating variable NIM of the conventional banks in Bangladesh. Seven banks were analyzed using the annual reports of the banks for the period of 2011 to 2015. Researchers applied descriptive statistics, correlation, and regression analysis to find out the results. The findings of the study provided evidence that cash to asset (CA) ratio had a negative relationship with NIM but a loan to asset (LA) ratio had a positive effect on the NIM. There was also a significant positive relationship between NIM and loan to deposit (LD) ratio. From the regression analysis it was clear that the LD, CA, and LA were able to explain the changes of NIM of the banks. JEL Classifications: G 21 Handle: http://hdl.handle.net/20.500.11903/abr.v6n3.7

Islamic banks are highly incorporated with social issues because of their rules and regulations. Profit not only depends on its own return and investment but also on trust, moral issues which may be more related to banking profitability. To test these gaps, this chapter attempts to investigate the socioeconomic factors along with bank-specific factors of global Islamic banks using dynamic GMM and Quantile regression. The dataset used in this study involves 55 full-fledged Islamic Banks from 24 countries across the globe. The results suggest that Return on Assets (ROA) is significantly positive to bank-specific factors such as credit risk has and statistically negative to cost-to-income ratio. It is also suggested that the relationship between risk and return is heterogeneous or dissimilar across different quantiles. Findings of the study tend to unravel that the socioeconomic factors especially political stability and investment freedom have positive and significant relation to the Islamic bank performance.