Testing the inflation rates in MENA countries: Evidence from quantile regression approach and seasonal unit root test

We investigate the dynamic behavior and seasonal property (with regime shift) of inflation in the Middle East and North Africa (MENA) countries. Our investigation uses the quantile regression approach developed by Koenker and Xiao (2004) and the newly developed seasonal unit root test of Narayan and Popp (2011) respectively. Our empirical results show that the inflation rates are not mean-reverting, and they show the asymmetries in their dynamic adjustment. Further, we find a seasonal unit root does not exist in the inflation rate for any country in this study. This finding implies that shocks do not have lasting effects on the inflation rate.     

On the income diversification and bank market power nexus in the MENA countries: Evidence from a GMM panel-VAR approach

This paper investigates the dynamic causal relationship between revenue diversification and bank market power using a broad sample of commercial banks from 17 Middle Eastern and North African (MENA) countries over the period 1993–2014. To do so, we employ the panel vector autoregression (PVAR) approach in a generalized method of moments (GMM) framework. Moreover, we use the impulse response functions (IRFs) tool to better understand the reaction of bank market power aftershocks on revenue diversification and vice-versa. Finally, we supplement our analysis by the forecast error variance decompositions (FEVds) of our variables. Overall, the results show that the level of bank market power declines in response to positive revenue diversification shocks. Conversely, banks with a higher level of market power get more involved in non-traditional activities.     

On the asymmetric relationship between stock market development,energy efficiency and environmental quality: A nonlinear analysis

It has been widely documented in the literature that financial development drives up the impact of CO₂ emissions through increases in real economic activities and the consumption of polluting fossil fuel energy. However, when dealing with stock market development, such upward effects on economic growth, energy efficiency, and carbon emissions seems to give away to a positive impact especially in emerging markets. This paper contributes to this debate by exploring both the symmetric and asymmetric responses of CO₂ emission to changes in stock market development indicators. Using both the panel linear and nonlinear ARDL, our results demonstrate the asymmetric effects of stock market development indicator son carbon emissions in the context of emerging markets. In particular, the long-run elasticities results suggest that positive and negative shocks on stock market indicator decreases environmental quality by increasing carbon emissions. Based on these empirical findings, this study offers some crucial policy implications. Especially, policy makers should implement strong environmental policies in emerging markets economies to reduce carbon emissions of industrial companies without significantly affecting the development of financial markets.