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Market liquidity and its incorporation into risk management

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  • Bervas, A.

Abstract

The excessively optimistic assessment of market liquidity, i.e. the belief that transactions can be settled at current prices without any notable delays or transaction costs, may be a serious threat to financial stability–the near failure of the LTCM hedge fund in 1998 was a case in point. Admittedly, the financial community today appears to have a better grasp of the risks arising from liquidity illusion. The fact nonetheless remains that current risk management tools, particularly the most common Value at Risk (VaR) measures, do not capture this complex component of market risk satisfactorily. In fact, standard VaR calculations do not take specific account of the risk to which a portfolio is exposed at the time it is liquidated. This article aims to explore the different aspects of liquidity risk and provide signposts to methods for incorporating this risk into existing risk control tools. We fi rst examine “normal” or average liquidity risk, which corresponds to the costs of liquidating or hedging a position in tranquil periods, then illiquidity risk that arises in crisis periods and results in the market’s inability to absorb order flows without violent price adjustments. Two separate methodologies, which must nonetheless be combined in a comprehensive approach, are required to analyse these two situations. In the first case we seek to assess the frictions that emerge in imperfect markets by using bid-ask spread measures and by analysing the negative impact on prices resulting from the liquidation of a sizeable portfolio. In the case of extreme risk, we assess the potential consequences of occurrences that are rare, fundamentally uncertain and systemically important. In each case, we suggest and describe a number of techniques that aim to incorporate these elements into the risk measurement and management systems used by private market participants, while underscoring the obstacles to application given the frequent unavailability of the data required. We show that these techniques are relevant because they provide a more cautious and more realistic assessment of financial institutions’ exposure to risk. Lastly, it is in market participants’ own interest for central banks and supervisory bodies to have at their disposal the information required to construct indicators for monitoring market liquidity or conducting suffi ciently comprehensive stress tests in order to assess the fi nancial system’s resilience to liquidity shocks, while taking into account all the externalities that market participants do not individually consider.

Suggested Citation

  • Bervas, A., 2006. "Market liquidity and its incorporation into risk management," Financial Stability Review, Banque de France, issue 8, pages 63-79, May.
  • Handle: RePEc:bfr:fisrev:2006:8:2
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    Citations

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    Cited by:

    1. Guillaume, F., 2015. "The LIX: A model-independent liquidity index," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 214-231.
    2. Mikhail V. Oet & John M. Dooley & Stephen J. Ong, 2015. "The Financial Stress Index: Identification of Systemic Risk Conditions," Risks, MDPI, vol. 3(3), pages 1-25, September.
    3. Sekoni, Abiola, 2015. "Germane Issues and Physiognomies of Bank Liquidity Risk," MPRA Paper 67399, University Library of Munich, Germany.
    4. Artur Akhmetov & Anna Burova & Natalia Makhankova & Alexey Ponomarenko, 2024. "Measuring Market Liquidity and Liquidity Mismatches Across Sectors," Springer Books, in: Alexander Karminsky & Mikhail Stolbov (ed.), Systemic Financial Risk, chapter 0, pages 131-194, Springer.
    5. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    6. Sekoni, Abiola, 2015. "The Basic Concepts and Feature of Bank Liquidity and Its Risk," MPRA Paper 67389, University Library of Munich, Germany.
    7. Catherine Schaumans & Frank Verboven, 2015. "Entry and Competition in Differentiated Products Markets," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 195-209, March.
    8. J. Graafland, 2010. "Calvin’s Restrictions on Interest: Guidelines for the Credit Crisis," Journal of Business Ethics, Springer, vol. 96(2), pages 233-248, October.
    9. Ernst, Cornelia & Stange, Sebastian & Kaserer, Christoph, 2012. "Measuring market liquidity risk - which model works best?," Journal of Financial Transformation, Capco Institute, vol. 35, pages 133-146.
    10. Johan Graafland & Bert Ven, 2011. "The Credit Crisis and the Moral Responsibility of Professionals in Finance," Journal of Business Ethics, Springer, vol. 103(4), pages 605-619, November.
    11. Elisabetta Gualandri & Andrea Landi & Valeria Venturelli, 2009. "Financial Crisis And New Dimensions Of Liquidity Risk: Rethinking Prudential Regulation And Supervision," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0013, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    12. Thomas Paul & Thomas Walther & André Küster-Simic, 2022. "Empirical analysis of the illiquidity premia of German real estate securities," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 203-260, June.
    13. Panetta, I. C. & Porretta, P., 2009. "Il rischio di liquidità: regolamentazione e best practice [Liquidity Risk: Supervisory Models and Best Practices]," MPRA Paper 36358, University Library of Munich, Germany.
    14. Timmy Elenjical & Patrick Mwangi & Barry Panulo & Chun-Sung Huang, 2016. "A comparative cross-regime analysis on the performance of GARCH-based value-at-risk models: Evidence from the Johannesburg stock exchange," Risk Management, Palgrave Macmillan, vol. 18(2), pages 89-110, August.
    15. João A. Bastos & Fernando Cascão, 2024. "Nonparametric determinants of market Liquidity," Working Papers REM 2024/0332, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    16. David McMillan & Pako Thupayagale, 2010. "Evaluating Stock Index Return Value-at-Risk Estimates in South Africa," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(3), pages 325-345, December.
    17. Díaz, Antonio & Escribano, Ana, 2022. "Liquidity dimensions in the U.S. corporate bond market," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1163-1179.
    18. Elisa Cavezzali & Gloria Gardenal, 2015. "Risk governance and performance of the Italian banks: an empirical analysis," Working Papers 8, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.

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