Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5032
Title: Value-at-Risk Analysis in the MENA Equity Markets: Fat Tails and Conditional Asymmetries in Return Distributions
Authors: Assaf, Ata 
Affiliations: Faculty of Business and Management 
Keywords: Asymmetric Power ARCH model
MENA equity markets
Value at Risk models
Issue Date: 2015
Publisher: Elsevier
Part of: Journal of Multinational Financial Management
Volume: 29
Start page: 30
End page: 45
Abstract: 
In this paper, we examine the forecasting performance of the Value-at-Risk (VaR) models in the MENA equity markets. We use the Asymmetric Power ARCH model to analyze four MENA emerging markets, namely Egypt, Jordan, Morocco, and Turkey. While most empirical studies focus only on holding a long position of a portfolio, in this paper, we consider a short position in each market. In the process, we find that the returns have significantly fatter tails than the normal distribution and therefore introduce the Asymmetric Power ARCH model to estimate the Value-at-Risk in each market. Then, we explore the impact of asymmetry in the conditional variance and fat-tailed distributions on measuring Value-at-Risk. We find that the VaR estimates based on the Student APARCH model are more accurate than those generated using Normal APARCH models, and therefore a proper risk assessment should not neglect both the long memory and tail behavior in these markets. Our results should be useful to investors, bankers, and fund managers, whose success depends on the ability to forecast stock price movements in these markets.
URI: https://scholarhub.balamand.edu.lb/handle/uob/5032
DOI: 10.1016/j.mulfin.2014.11.002
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Business Administration

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