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U.K. cross-sectional equity data: The case for robust investability filters

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  • Rossi, Francesco

Abstract

We propose a novel approach to cross-sectional equities sample selection, derived from best market practice in index construction and focused on investability. Using the U.K. market as a template, we first demonstrate how the popular Datastream dataset is plagued by data deficiencies that would surely invalidate statistical inferences, and that are not addressed by commonly used filters. We show the benefits and need for a supplementary data source. We then develop robust investability filters to ensure statistical results from cross-sectional analysis are economically meaningful, an issue overlooked by most studies on cross-sectional risk pricing

Suggested Citation

  • Rossi, Francesco, 2012. "U.K. cross-sectional equity data: The case for robust investability filters," MPRA Paper 43312, University Library of Munich, Germany, revised Nov 2012.
    • Handle: RePEc:pra:mprapa:43312
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    1. Turan G. Bali & Nusret Cakici & Xuemin (Sterling) Yan & Zhe Zhang, 2005. "Does Idiosyncratic Risk Really Matter?," Journal of Finance, American Finance Association, vol. 60(2), pages 905-929, April.
    2. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    4. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    5. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    6. K. J. Martijn Cremers & Jianping Mei, 2007. "Turning over Turnover," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1749-1782, November.
    7. Söhnke M. Bartram & Gregory Brown & René M. Stulz, 2009. "Why Do Foreign Firms Have Less Idiosyncratic Risk than U.S. Firms?," NBER Working Papers 14931, National Bureau of Economic Research, Inc.
    8. Guo, Hui & Savickas, Robert, 2006. "Idiosyncratic Volatility, Stock Market Volatility, and Expected Stock Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 43-56, January.
    9. Yasushi Hamao & Jianping Mei & Yexiao Xu, 2003. "Idiosyncratic Risk and the Creative Destruction in Japan," NBER Working Papers 9642, National Bureau of Economic Research, Inc.
    10. Matteo P. Arena & K. Stephen Haggard & Xuemin (Sterling) Yan, 2008. "Price Momentum and Idiosyncratic Volatility," The Financial Review, Eastern Finance Association, vol. 43(2), pages 159-190, May.
    11. Li, Xiafei & Miffre, Joëlle & Brooks, Chris & O'Sullivan, Niall, 2008. "Momentum profits and time-varying unsystematic risk," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 541-558, April.
    12. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    13. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    14. Hui Guo & Robert Savickas, 2008. "Average Idiosyncratic Volatility in G7 Countries," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1259-1296, May.
    15. Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2012. "Aggregate Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1155-1185, December.
    16. Michael W. Brandt & Alon Brav & John R. Graham & Alok Kumar, 2010. "The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 863-899, February.
    17. Ozgur S. Ince & R. Burt Porter, 2006. "Individual Equity Return Data From Thomson Datastream: Handle With Care!," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 463-479, December.
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    1. Stijn Claessens & Hui Tong & Igor Zuccardi, 2015. "Saving the Euro: Mitigating Financial or Trade Spillovers?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1369-1402, October.

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    More about this item

    Keywords

    cross-sectional equities; liquidity; investability; Datastream; asset pricing; Bloomberg; sample selection; turnover; volume; U.K. equities;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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