In this paper we use the DCC-MIDAS (Dynamic Conditional Correlation-Mixed Data Sampling) model to infer the association between oil and equities in five MENA countries between February 2006 and April 2017. The model indicates that higher oil returns tends to reduce the long-term risk of the...

In this paper we use the DCC-MIDAS (Dynamic Conditional Correlation-Mixed Data Sampling) model to infer the association between oil and equities in five MENA countries between February 2006 and April 2017. The model indicates that higher oil returns tends to reduce the long-term risk of the...

Purpose: The authors aim to assess whether herding in GCC stock markets is more responsive to global dynamics than its response to regional developments. To do so, they use the largest equity market in the region which is Saudi Arabia as the benchmark, and then they examine if herding crosses...

We employ dynamic conditional Value at Risk (CoVaR) technique of Adrian and Brunnermeir (2016) in examining the systemic risk and its spillovers for the Gulf Cooperation Council (GCC) countries during the period of January 2004 to June 2020. To do so, we identify 11 large banks in the region...