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Liquidity biases in asset pricing tests

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Author Info

  • Asparouhova, Elena
  • Bessembinder, Hendrik
  • Kalcheva, Ivalina

Abstract

Microstructure noise in security prices biases the results of empirical asset pricing specifications, particularly when security-level explanatory variables are cross-sectionally correlated with the amount of noise. We focus on tests of whether measures of illiquidity, which are likely to be correlated with the noise, are priced in the cross-section of stock returns, and show a significant upward bias in estimated return premiums for an array of illiquidity measures in Center for Research in Security Prices (CRSP) monthly return data. The upward bias is larger when illiquid securities are included in the sample, but persists even for NYSE/Amex stocks after decimalization. We introduce a methodological correction to eliminate the biases that simply involves weighted least squares (WLS) rather than ordinary least squares (OLS) estimation, and find evidence of smaller, but still significant, return premiums for illiquidity after implementing the correction.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Financial Economics.

Volume (Year): 96 (2010)
Issue (Month): 2 (May)
Pages: 215-237

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Handle: RePEc:eee:jfinec:v:96:y:2010:i:2:p:215-237

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Web page: http://www.elsevier.com/locate/inca/505576

Related research

Keywords: Microstructure noise Illiquidity Asset pricing Return premium Bias correction;

References

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Citations

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Cited by:
  1. Erten, Irem & Okay, Nesrin, 2012. "Deciphering Liquidity Risk on the Istanbul Stock Exchange," MPRA Paper 56148, University Library of Munich, Germany, revised 2012.
  2. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
  3. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer, vol. 26(1), pages 3-38, March.
  4. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
  5. Vilkovz, Grigory & Xiaox, Yan, 2013. "Option-implied information and predictability of extreme returns," SAFE Working Paper Series 5, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
  6. Panayides, Photis M. & Lambertides, Neophytos & Cullinane, Kevin, 2013. "Liquidity risk premium and asset pricing in US water transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 52(C), pages 3-15.
  7. Anderson, Richard G. & Binner, Jane M. & Hagströmer, Björn & Nilsson, Birger, 2013. "Does Commonality in Illiquidity Matter to Investors?," Working Papers 2013:24, Lund University, Department of Economics.
  8. Andrew Ang & Assaf A. Shtauber & Paul C. Tetlock, 2013. "Asset Pricing in the Dark: The Cross-Section of OTC Stocks," Review of Financial Studies, Society for Financial Studies, vol. 26(12), pages 2985-3028.
  9. 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.
  10. Papavassiliou, Vassilios G., 2013. "A new method for estimating liquidity risk: Insights from a liquidity-adjusted CAPM framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 184-197.
  11. Ginglinger, Edith & Koenig-Matsoukis, Laure & Riva, Fabrice, 2013. "Seasoned equity offerings: Stock market liquidity and the rights offer paradox," Economics Papers from University Paris Dauphine 123456789/10852, Paris Dauphine University.
  12. Hagströmer, Björn & Hansson, Björn & Nilsson, Birger, 2013. "The components of the illiquidity premium: An empirical analysis of US stocks 1927–2010," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4476-4487.
  13. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
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