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Tunisia is currently facing political, economic and financial problems that are having an impact on the flow of remittances. This study is the first attempt to give a thorough analysis
An artificial neural network augmented GARCH model for Islamic stock market volatility: Do asymmetry and long memory matter?
The aim of this paper is to study the volatility and forecast accuracy of the Islamic stock market. For this purpose, we construct a new hybrid GARCH-type models based on
Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries
Efficiency is becoming one of the central preoccupations of health sector due to mounting pressures on health care resources since many years. However, assessing efficiency at cross-country level has not