This paper proposes a method of calculating a Liquidity Adjusted Value-at-Risk (L-VaR) measure. Traditional VaR approaches assume perfect markets, where an investor can buy or sell any amount of stock without causing a significant price change. Such a hypothesis is seldom verified in practice, especially in emerging markets, consequently underestimating the VaR risk measure. An attempt is made to remedy this shortcoming by first estimating the bid--ask spread components in order to calculate accurately both the endogeneous and the exogenous liquidity risk. Under this framework, the liquidation price of a position will not be the spread midpoint, but at most the bid price. The Madhavan et al . (1997) model is extended by incorporating the traded volume and find that liquidity risk, for an emerging stock market, displays an inverse U-shape pattern throughout the day. For the high-priced, high-capitalization stocks of the Athens Stock Exchange, it represents 3.40% of total market risk, while for the low capitalization ones, it is even higher at 11%. VaR measures are then adjusted for such spread variation since, neglecting such effect, leads so serious failure of VaR backtesting.
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Volume (Year): 16 (2006) Issue (Month): 11 (July) Pages: 835-851 Download reference. The following formats are available: HTML
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Christoffersen, Peter F, 1998.
"Evaluating Interval Forecasts,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-62, November.
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