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The components of the illiquidity premium: An empirical analysis of U.S. stocks 1927-2010

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Abstract

This paper estimates a conditional version of the liquidity adjusted CAPM by Acharya and Pedersen (2005) using NYSE and AMEX data from 1927 to 2010 to study the illiquidity premium and its variation over time. The components of the illiquidity premium is in this model derived as the level of expected illiquidity together with three types of illiquidity risks. We measure illiquidity of individual stocks by the efficient spread proxy developed in Holden (2009) and employ illiquidity sorted portfolios as test assets. The average annual illiquidity premium is estimated to 1.55%, the respective contributions from illiquidity level being 1.15% and from the three different illiquidity risks 0.40%. Results also indicate that commonality risk is the least important component in the illiquidity risk premium, while a component related to the hedging of wealth shocks is the most important. The illiquidity premium varies substantially over time, with peaks in downturns and crises, but with no general tendency to decrease over time.

Suggested Citation

  • Hagströmer, Björn & Nilsson, Birger & Hansson, Björn, 2011. "The components of the illiquidity premium: An empirical analysis of U.S. stocks 1927-2010," Working Papers 2011:24, Lund University, Department of Economics.
  • Handle: RePEc:hhs:lunewp:2011_024
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    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. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    3. Christie, William G & Schultz, Paul H, 1994. " Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    4. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
    5. Blume, Marshall E. & Stambaugh, Robert F., 1983. "Biases in computed returns : An application to the size effect," Journal of Financial Economics, Elsevier, vol. 12(3), pages 387-404, November.
    6. Korajczyk, Robert A. & Sadka, Ronnie, 2008. "Pricing the commonality across alternative measures of liquidity," Journal of Financial Economics, Elsevier, vol. 87(1), pages 45-72, January.
    7. Lee, Kuan-Hui, 2011. "The world price of liquidity risk," Journal of Financial Economics, Elsevier, vol. 99(1), pages 136-161, January.
    8. Akiko Watanabe & Masahiro Watanabe, 2008. "Time-Varying Liquidity Risk and the Cross Section of Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2449-2486, November.
    9. Jensen, Gerald R. & Moorman, Theodore, 2010. "Inter-temporal variation in the illiquidity premium," Journal of Financial Economics, Elsevier, vol. 98(2), pages 338-358, November.
    10. Brockman, Paul & Chung, Dennis Y. & Pérignon, Christophe, 2009. "Commonality in Liquidity: A Global Perspective," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(04), pages 851-882, August.
    11. 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.
    12. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    13. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    14. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    15. Asparouhova, Elena & Bessembinder, Hendrik & Kalcheva, Ivalina, 2010. "Liquidity biases in asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 215-237, May.
    16. Marshall Blume & Robert Stambaugh, "undated". "Biases in Computed Returns: An Application to the Size Effect (Revision of 2-83)," Rodney L. White Center for Financial Research Working Papers 11-83, Wharton School Rodney L. White Center for Financial Research.
    17. Karolyi, G. Andrew & Lee, Kuan-Hui & van Dijk, Mathijs A., 2012. "Understanding commonality in liquidity around the world," Journal of Financial Economics, Elsevier, vol. 105(1), pages 82-112.
    18. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    19. Liu, Weimin, 2006. "A liquidity-augmented capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 82(3), pages 631-671, December.
    20. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    21. Shumway, Tyler, 1997. " The Delisting Bias in CRSP Data," Journal of Finance, American Finance Association, vol. 52(1), pages 327-340, March.
    22. Holden, Craig W., 2009. "New low-frequency spread measures," Journal of Financial Markets, Elsevier, vol. 12(4), pages 778-813, November.
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    More about this item

    Keywords

    illiquidity level premium; illiquidity risk premium; conditional LCAPM; effective tick;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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