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The Excess Returns of 'Quality' Stocks: A Behavioral Anomaly

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  • Thesmar , David
  • Bouchaud , Jean-Philippe
  • Stefano , Ciliberti
  • Landier , Augustin
  • Simon , Guillaume

Abstract

This note investigates the causes of the quality anomaly, which is one of the strongest and most scalable anomalies in equity markets. We explore two potential explanations. The "risk view", whereby investing in high quality firms is somehow riskier, so that the higher returns of a quality portfolio are a compensation for risk exposure. This view is consistent with the Efficient Market Hypothesis. The other view is the "behavioral view", which states that some investors persistently underestimate the true value of high quality firms. We find no evidence in favor of the "risk view": The returns from investing in quality firms are abnormally high on a risk-adjusted basis, and are not prone to crashes. We provide novel evidence in favor of the "behavioral view": In their forecasts of future prices, and while being overall overoptimistic, analysts systematically underestimate the future return of high quality firms, compared to low quality firms.

Suggested Citation

  • Thesmar , David & Bouchaud , Jean-Philippe & Stefano , Ciliberti & Landier , Augustin & Simon , Guillaume, 2016. "The Excess Returns of 'Quality' Stocks: A Behavioral Anomaly," HEC Research Papers Series 1134, HEC Paris.
  • Handle: RePEc:ebg:heccah:1134
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    1. Olivier Guedj & Jean-Philippe Bouchaud, 2005. "Experts' Earning Forecasts: Bias, Herding And Gossamer Information," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(07), pages 933-946.
    2. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    3. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    4. Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2016. "Expectations and Investment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 379-431.
    5. Jean-Philippe Bouchaud & Philipp Krueger & Augustin Landier & David Thesmar, 2016. "Sticky Expectations and Stock Market Anomalies," Working Papers hal-01993418, HAL.
    6. Barroso, Pedro & Santa-Clara, Pedro, 2015. "Momentum has its moments," Journal of Financial Economics, Elsevier, vol. 116(1), pages 111-120.
    7. Augustin Landier & Guillaume Simon & David Thesmar, 2015. "The Capacity of Trading Strategies," Working Papers hal-02011394, HAL.
    8. Augustin Landier & David Thesmar, 2009. "Financial Contracting with Optimistic Entrepreneurs," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 117-150, January.
    9. Alon Brav & Reuven Lehavy & Roni Michaely, 2005. "Using Expectations to Test Asset Pricing Models," Financial Management, Financial Management Association, vol. 34(3), Fall.
    10. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    11. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
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    Cited by:

    1. Rizzo, Emanuele, 2018. "Essays on corporate governance and the impact of regulation on financial markets," Other publications TiSEM b5158260-ea13-4763-b992-6, Tilburg University, School of Economics and Management.
    2. Asness, Clifford & Frazzini, Andrea & Israel, Ronen & Moskowitz, Tobias J. & Pedersen, Lasse H., 2018. "Size matters, if you control your junk," Journal of Financial Economics, Elsevier, vol. 129(3), pages 479-509.
    3. Rai, Anish & Mahata, Ajit & Nurujjaman, Md & Majhi, Sushovan & Debnath, Kanish, 2022. "A sentiment-based modeling and analysis of stock price during the COVID-19: U- and Swoosh-shaped recovery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    4. Thillaikkoothan Palanichamy & Parthajit Kayal, 2022. "Multiple Dimensions of Cyclicality in Investing," Working Papers 2022-216, Madras School of Economics,Chennai,India.

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    More about this item

    Keywords

    Quality anomaly; financial analysts misplaced focus; behavioral biases;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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