IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2014-01-6.html
   My bibliography  Save this article

Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data

Author

Listed:
  • Rouetbi Emnal

    (Institut sup rieur de finance et fiscalit Sousse, Rue 18 janvier Sousse, Tunisia.)

  • Mamoghli Chokri

    (Institut des Hautes Etudes Commerciales, 2016 Carthage Presidence, Tunisia.)

Abstract

The present paper introduces an enhanced liquidity adjusted intraday value at risk measure named the LIVaR applied to a sample of listed securities in an emerging market; namely the Tunis Stock Exchange (BVMT). Very specific econometric tools were used to perform models that suit the statistical properties of the data and to obtain a more realistic and efficient measure. This methodology was applied to intraday data. It was found that in the BVMT, the liquidity risk is very high. It represents about 25% of the total cost supported by a day trader for the most active stocks of the considered sample. It can also reach more than 40% for the less liquid ones. These results reveal how thin the Tunis stock market is. Classification-JEL: C41; G17

Suggested Citation

  • Rouetbi Emnal & Mamoghli Chokri, 2014. "Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 4(1), pages 40-53.
    • Handle: RePEc:eco:journ1:2014-01-6
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijefi/article/download/611/pdf
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/ijefi/article/view/611/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2009. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 777-792, December.
    3. Longstaff, Francis A, 2001. "Optimal Portfolio Choice and the Valuation of Illiquid Securities," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 407-431.
    4. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    5. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    6. Bauwens, Luc & Giot, Pierre & Grammig, Joachim & Veredas, David, 2004. "A comparison of financial duration models via density forecasts," International Journal of Forecasting, Elsevier, vol. 20(4), pages 589-609.
    7. Sadka, Ronnie, 2010. "Liquidity risk and the cross-section of hedge-fund returns," Journal of Financial Economics, Elsevier, vol. 98(1), pages 54-71, October.
    8. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    9. Cihan Aktas & Orcan Cortuk & Suat Teker & Burcu Deniz Yildirim, 2012. "Measurement of Liquidity-Adjusted Market Risk by VaR and Expected Shortfall: Evidence from Turkish Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(5), pages 1-8.
    10. Pierre Giot & Joachim Grammig, 2006. "How large is liquidity risk in an automated auction market?," Empirical Economics, Springer, vol. 30(4), pages 867-887, January.
    11. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    12. Timotheos Angelidis & Alexandros Benos, 2006. "Liquidity adjusted value-at-risk based on the components of the bid-ask spread," Applied Financial Economics, Taylor & Francis Journals, vol. 16(11), pages 835-851.
    13. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    14. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Theo Berger & Christina Uffmann, 2021. "Assessing liquidity‐adjusted risk forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1179-1189, November.
    2. Johannes St binger & Jens Bredthauer, 2017. "Statistical Arbitrage Pairs Trading with High-frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 650-662.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    2. Großmaß Lidan, 2014. "Liquidity and the Value at Risk," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(5), pages 572-602, October.
    3. Gniadkowska-Szymańska Agata, 2017. "The impact of trading liquidity on the rate of return on emerging markets: the example of Poland and the Baltic countries," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 13(4), pages 136-148, December.
    4. Dionne, Georges & Pacurar, Maria & Zhou, Xiaozhou, 2015. "Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Börse," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 202-219.
    5. Pástor, Luboš & Stambaugh, Robert F., 2019. "Liquidity Risk After 20 Years," Critical Finance Review, now publishers, vol. 8(1-2), pages 277-299, December.
    6. Stereńczak, Szymon, 2020. "Stock liquidity premium with stochastic price impact and exogenous trading strategy," International Review of Financial Analysis, Elsevier, vol. 71(C).
    7. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.
    8. Dimitri Vayanos & Jiang Wang, 2012. "Market Liquidity -- Theory and Empirical Evidence," NBER Working Papers 18251, National Bureau of Economic Research, Inc.
    9. Gianni De Nicolò & Iryna Ivaschenko, 2009. "Global Liquidity, Risk Premiums and Growth Opportunities," CESifo Working Paper Series 2598, CESifo.
    10. Beber, Alessandro & Driessen, Joost & Neuberger, Anthony & Tuijp, Patrick, 2021. "Pricing Liquidity Risk with Heterogeneous Investment Horizons," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(2), pages 373-408, March.
    11. Cebiroglu, Gökhan & Hautsch, Nikolaus & Walsh, Christopher, 2019. "Revisiting the stealth trading hypothesis: Does time-varying liquidity explain the size-effect?," CFS Working Paper Series 625, Center for Financial Studies (CFS).
    12. Siegmann, Arjen & Stefanova, Denitsa, 2017. "The evolving beta-liquidity relationship of hedge funds," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 286-303.
    13. de Jong, F.C.J.M. & Driessen, J.J.A.G., 2015. "Can large long-term investors capture illiquidity premiums," Other publications TiSEM 9c92b978-0099-44d3-9aab-8, Tilburg University, School of Economics and Management.
    14. Bae, Kyounghun & Kim, Daejin, 2020. "Liquidity risk and exchange-traded fund returns, variances, and tracking errors," Journal of Financial Economics, Elsevier, vol. 138(1), pages 222-253.
    15. Acharya, Viral V. & Pedersen, Lasse Heje, 2019. "Economics with Market Liquidity Risk," Critical Finance Review, now publishers, vol. 8(1-2), pages 111-125, December.
    16. Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2021. "Market and Liquidity Risks Using Transaction-by-Transaction Information," Mathematics, MDPI, vol. 9(14), pages 1-14, July.
    17. Gagnon, Marie-Hélène & Gimet, Céline, 2013. "The impacts of standard monetary and budgetary policies on liquidity and financial markets: International evidence from the credit freeze crisis," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4599-4614.
    18. Vu, Van & Chai, Daniel & Do, Viet, 2015. "Empirical tests on the liquidity-adjusted capital asset pricing model," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 73-89.
    19. Saad, Mohsen & Samet, Anis, 2020. "Collectivism and commonality in liquidity," Journal of Business Research, Elsevier, vol. 116(C), pages 137-162.
    20. Aragon, George O. & Strahan, Philip E., 2012. "Hedge funds as liquidity providers: Evidence from the Lehman bankruptcy," Journal of Financial Economics, Elsevier, vol. 103(3), pages 570-587.

    More about this item

    Keywords

    Liquidity; intraday value at risk; spread; ACD; Monte Carlo simulation.;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2014-01-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.