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Disposition Matters: Volume, Volatility and Price Impact of Behavioural Bias

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  • Goetzmann, William
  • Massa, Massimo

Abstract

We test the market impact of the disposition effect. We rely on the Grinblatt and Han (2002) model and derive testable implications about the expected relationship between the preponderance of disposition investors in the market and stock volatility, return and trading volume. We use a large sample of individual accounts over a six-year period to construct a variable that acts as proxy for the representation in the market of disposition investors. We show that, at a daily frequency, when the fraction of ?irrational? investor trades in a stock increases, stock volatility, return and trading volume decrease. We further show that such a stock-specific disposition acts as proxy to aggregates at the market level, generating a common factor. Statistical exposure to such a disposition-related factor explains cross-sectional differences in daily returns, after controlling for a host of other factors and characteristics.

Suggested Citation

  • Goetzmann, William & Massa, Massimo, 2004. "Disposition Matters: Volume, Volatility and Price Impact of Behavioural Bias," CEPR Discussion Papers 4814, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:4814
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    Cited by:

    1. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    2. Petri Kyröläinen, 2008. "Day trading and stock price volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(1), pages 75-89, January.
    3. Brad M. Barber & Yi‐Tsung Lee & Yu‐Jane Liu & Terrance Odean, 2007. "Is the Aggregate Investor Reluctant to Realise Losses? Evidence from Taiwan," European Financial Management, European Financial Management Association, vol. 13(3), pages 423-447, June.
    4. Kumar, Alok, 2007. "Do the diversification choices of individual investors influence stock returns?," Journal of Financial Markets, Elsevier, vol. 10(4), pages 362-390, November.
    5. Lan Yi & Jianping Tao & Caifeng Tan & Zhongkun Zhu, 2019. "Avian Influenza, Public Opinion, and Risk Spillover: Measurement, Theory, and Evidence from China’s Broiler Market," Sustainability, MDPI, vol. 11(8), pages 1-44, April.
    6. Margaria Abreu, 2017. "HOW Biased is the Behavior of the Individual Investor in Warrants?," Working Papers Department of Economics 2017/18, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    7. Arthur Charpentier & Emilios C. C Galariotis & Christophe Villa, 2009. "Category-based Tail Comovement," Working Papers hal-00550330, HAL.
    8. William Goetzmann & Liang Peng, 2003. "Estimating Indices in the Presence of Seller Reservation Prices," Yale School of Management Working Papers ysm352, Yale School of Management, revised 01 May 2003.
    9. Douglas W. Blackburn & William N. Goetzmann & Andrey D. Ukhov, 2009. "Risk Aversion and Clientele Effects," NBER Working Papers 15333, National Bureau of Economic Research, Inc.
    10. Andrey Kudryavtsev & Gil Cohen & Shlomit Hon-Snir, 2013. "“Rational” or “Intuitive”: Are Behavioral Biases Correlated Across Stock Market Investors?," Contemporary Economics, Vizja University, vol. 7(2), June.
    11. Grinblatt, Mark & Han, Bing, 2005. "Prospect theory, mental accounting, and momentum," Journal of Financial Economics, Elsevier, vol. 78(2), pages 311-339, November.
    12. Weber, Martin & Welfens, Frank, 2007. "How do Markets React to Fundamental Shocks? An Experimental Analysis on Underreaction and Momentum," Sonderforschungsbereich 504 Publications 07-42, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    13. Soleman Alsabban & Omar Alarfaj, 2020. "An Empirical Analysis of Behavioral Finance in the Saudi Stock Market: Evidence of Overconfidence Behavior," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 73-86.
    14. Grinblatt, Mark & Han, Bing, 2005. "Prospect theory, mental accounting, and momentum," Journal of Financial Economics, Elsevier, vol. 78(2), pages 311-339, November.
    15. Zeeshan Ahmed & Shahid Rasool & Qasim Saleem & Mubashir Ali Khan & Shamsa Kanwal, 2022. "Mediating Role of Risk Perception Between Behavioral Biases and Investor’s Investment Decisions," SAGE Open, , vol. 12(2), pages 21582440221, May.
    16. Sarmiento, Julio & Rendón, Jairo & Sandoval, Juan S. & Cayon, Edgardo, 2019. "The disposition effect and the relevance of the reference period: Evidence among sophisticated investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    17. Hirshleifer, David & Jiang, Danling, 2007. "Commonality in Misvaluation, Equity Financing, and the Cross Section of Stock Returns," MPRA Paper 16134, University Library of Munich, Germany, revised 08 Jul 2009.
    18. Margarida Abreu, 2017. "How Biased is the Behavior of the Individual Investor in Warrants?," Working Papers REM 2017/07, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    19. Kliger, Doron & Kudryavtsev, Andrey, 2008. "Reference point formation by market investors," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1782-1794, September.
    20. Grinblatt, Mark & Han, Bing, 2001. "The Disposition Effect and Momentum," University of California at Los Angeles, Anderson Graduate School of Management qt6qg5d62p, Anderson Graduate School of Management, UCLA.
    21. Suman Gupta & Vinay Goyal & Vinay Kumar Kalakbandi & Sankarshan Basu, 2018. "Overconfidence, trading volume and liquidity effect in Asia’s Giants: evidence from pre-, during- and post-global recession," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(3), pages 235-257, September.
    22. Douglas W. Blackburn & William N. Goetzmann & Andrey D. Ukhov, 2014. "Is trading behavior stable across contexts? Evidence from style and multi-style investors," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 605-627, April.

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    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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