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Liquidity adjusted value-at-risk based on the components of the bid-ask spread

  • Timotheos Angelidis
  • Alexandros Benos

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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Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 16 (2006)
Issue (Month): 11 ()
Pages: 835-851

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Handle: RePEc:taf:apfiec:v:16:y:2006:i:11:p:835-851
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  1. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
  2. Brooks, C. & Clare, A.D. & Dalle Molle, J.W. & Persand, G., 2005. "A comparison of extreme value theory approaches for determining value at risk," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 339-352, March.
  3. Pierre Giot, 2005. "Market risk models for intraday data," The European Journal of Finance, Taylor & Francis Journals, vol. 11(4), pages 309-324.
  4. Glosten, Lawrence R, 1994. " Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-61, September.
  5. GIOT, Pierre & LAURENT, Sébastien, 2003. "Market risk in commodity markets: a VaR approach," CORE Discussion Papers 2003028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Billio, Monica & Pelizzon, Loriana, 2000. "Value-at-Risk: a multivariate switching regime approach," Journal of Empirical Finance, Elsevier, vol. 7(5), pages 531-554, December.
  7. GIOT, Pierre & LAURENT, Sébastien, . "Value-at-Risk for long and short trading positions," CORE Discussion Papers RP -1707, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. Vlaar, Peter J. G., 2000. "Value at risk models for Dutch bond portfolios," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1131-1154, July.
  9. Dufour, Alfonso & Engle, Robert F, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series qt62c0h04j, Department of Economics, UC San Diego.
  10. Ananth Madhavan & Matthew Richardson & Mark Roomans, . "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," Rodney L. White Center for Financial Research Working Papers 20-94, Wharton School Rodney L. White Center for Financial Research.
  11. de Jong, F.C.J.M. & Nijman, T.E. & Roell, A.A., 1994. "Price effects of trading and components of the bid-ask spread on the Paris Bource," Discussion Paper 1994-54, Tilburg University, Center for Economic Research.
  12. Aitken, Michael & Comerton-Forde, Carole, 2003. "How should liquidity be measured?," Pacific-Basin Finance Journal, Elsevier, vol. 11(1), pages 45-59, January.
  13. N. A. Niarchos & C. A. Alexakis, 2003. "Intraday stock price patterns in the Greek stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 13(1), pages 13-22.
  14. Pierre Giot and S»bastien Laurent, 2001. "Value-At-Risk For Long And Short Trading Positions," Computing in Economics and Finance 2001 94, Society for Computational Economics.
  15. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2010. "The Use of GARCH Models in VaR Estimation," Working Papers 0048, University of Peloponnese, Department of Economics.
  16. Ahn, Hee-Joon & Cai, Jun & Hamao, Yasushi & Ho, Richard Y. K., 2002. "The components of the bid-ask spread in a limit-order market: evidence from the Tokyo Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 399-430, November.
  17. 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.
  18. Stavros Degiannakis, 2004. "Volatility forecasting: evidence from a fractional integrated asymmetric power ARCH skewed-t model," Applied Financial Economics, Taylor & Francis Journals, vol. 14(18), pages 1333-1342.
  19. Menyah, Kojo & Paudyal, Krishna, 2000. "The components of bid-ask spreads on the London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 24(11), pages 1767-1785, November.
  20. R.W.J. van den Goorbergh & P.J.G. Vlaar, 1999. "Value-at-Risk Analysis of Stock Returns Historical Simulation,Variance Techniques or Tail Index Estimation?," DNB Staff Reports (discontinued) 40, Netherlands Central Bank.
  21. Perry Sadorsky, 2005. "Stochastic volatility forecasting and risk management," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 121-135.
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