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How large is liquidity risk in an automated auction market?

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Author Info
Pierre Giot ()
Joachim Grammig ()

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Abstract

We introduce a new empirical methodology that takes account of liquidity risk in a Value-at-Risk framework, and quantify liquidity risk premiums for portfolios and individual stocks traded on the automated auction market Xetra which operates at various European exchanges. When constructing liquidity risk measures we allow for the potential price impact incurred by the liquidation of a portfolio. We study the sensitivity of liquidity risk towards portfolio size and VaR time horizon, and interpret its diurnal variation in the light of market microstructure theory.

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File URL: http://www.vwa.unisg.ch/RePEc/usg/dp2002/dp0223grammig_ganz.pdf
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Publisher Info
Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2002 with number 2002-23.

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Length: 35 pages
Date of creation: Oct 2002
Date of revision:
Handle: RePEc:usg:dp2002:2002-23

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Related research
Keywords: Liquidity; Value-at-Risk; Microstructure;

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Find related papers by JEL classification:
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Ajay Subramanian & Robert A. Jarrow, 2001. "The Liquidity Discount," Mathematical Finance, Blackwell Publishing, vol. 11(4), pages 447-474. [Downloadable!] (restricted)
  2. Magdalena E. Sokalska & Ananda Chanda & Robert F. Engle, 2005. "High Frequency Multiplicative Component Garch," Computing in Economics and Finance 2005 409, Society for Computational Economics. [Downloadable!]
  3. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
  4. BELTRAN, Helena & DURRE, Alain & GIOT, Pierre, 2005. "Volatility regimes and the provision of liquidity in order book markets," CORE Discussion Papers 2005012, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
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  5. GIOT, Pierre & ,, 1999. "Time transformations, intraday data and volatility models ," CORE Discussion Papers 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
  6. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November. [Downloadable!] (restricted)
  7. Anil Bangia & Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998. "Modeling Liquidity Risk, With Implications for Traditional Market Risk Measurement and Management," Center for Financial Institutions Working Papers 99-06, Wharton School Center for Financial Institutions, University of Pennsylvania. [Downloadable!]
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  8. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. " An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-89, December. [Downloadable!] (restricted)
  9. Handa, Puneet & Schwartz, Robert A, 1996. " Limit Order Trading," Journal of Finance, American Finance Association, vol. 51(5), pages 1835-61, December. [Downloadable!] (restricted)
  10. Martin Martens & Yuan-Chen Chang & Stephen J. Taylor, 2002. "A Comparison Of Seasonal Adjustment Methods When Forecasting Intraday Volatility," Journal of Financial Research, Southern Finance Association and Southwestern Finance Association, vol. 25(2), pages 283-299. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Georges Dionne & Pierre Duchesne & Maria Pacurar, 2005. "Intraday Value at Risk (IVaR) Using Tick-by-Tick Data with Application to the Toronto Stock Exchange," Cahiers de recherche 0533, CIRPEE. [Downloadable!]
  2. Héléna Beltran-Lopez & Pierre Giot & Joachim Grammig, 2009. "Commonalities in the order book," Financial Markets and Portfolio Management, Springer, vol. 23(3), pages 209-242, September. [Downloadable!] (restricted)
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