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Value at Risk Prediction under Illiquid Market Conditions: A Comparison of Alternative Modeling Strategies

Risk Management in Emerging Markets

ISBN: 978-1-78635-452-5, eISBN: 978-1-78635-451-8

Publication date: 29 December 2016

Abstract

Given the rising need for measuring and controlling of financial risk as proposed in Basel II and Basel III Capital Adequacy Accords, trading risk assessment under illiquid market conditions plays an increasing role in banking and financial sectors, particularly in emerging financial markets. The purpose of this chapter is to investigate asset liquidity risk and to obtain a Liquidity-Adjusted Value at Risk (L-VaR) estimation for various equity portfolios. The assessment of L-VaR is performed by implementing three different asset liquidity models within a multivariate context along with GARCH-M method (to estimate expected returns and conditional volatility) and by applying meaningful financial and operational constraints. Using more than six years of daily return dataset of emerging Gulf Cooperation Council (GCC) stock markets, we find that under certain trading strategies, such as short selling of stocks, the sensitivity of L-VaR statistics are rather critical to the selected internal liquidity model in addition to the degree of correlation factors among trading assets. As such, the effects of extreme correlations (plus or minus unity) are crucial aspects to consider in selecting the most adequate internal liquidity model for economic capital allocation, especially under crisis condition and/or when correlations tend to switch sings. This chapter bridges the gap in risk management literatures by providing real-world asset allocation tactics that can be used for trading portfolios under adverse markets’ conditions. The approach to computing L-VaR has been arrived at through the application of three distinct liquidity models and the obtained results are used to draw conclusions about the relative liquidity of the diverse equity portfolios.

Keywords

Acknowledgements

Acknowledgment

Some aspects of this chapter are partially based on a conference paper entitled “Integrating Liquidity Risk Factor into a Parametric Value at Risk Method,” which I have presented at the 57th annual conference of the Midwest Finance Association (MFA), San Antonio, Texas, USA, March, 2008.

Citation

Al Janabi, M.A.M. (2016), "Value at Risk Prediction under Illiquid Market Conditions: A Comparison of Alternative Modeling Strategies", Boubaker, S., Buchanan, B. and Nguyen, D.K. (Ed.) Risk Management in Emerging Markets, Emerald Group Publishing Limited, Leeds, pp. 253-291. https://doi.org/10.1108/978-1-78635-452-520161021

Publisher

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Emerald Group Publishing Limited

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