IDEAS home Printed from https://ideas.repec.org/p/pri/econom/2013-8.html
   My bibliography  Save this paper

Is R-Squared a Measure of Market Inefficiency?

Author

Listed:
  • Kewei Hou

    (Ohio State University)

  • Lin Peng

    (City University of New York)

  • Wei Xiong

    (Princeton University)

Abstract

This paper provides a critical evaluation of a widely made argument that stock prices in markets with lower return R2 are more efficient. We show that in a standard rational expectations model, return R2 is independent of the amount of information incorporated into stock prices. Furthermore, an alternative model in which stock price fluctuations are driven by investor sentiment leads to an opposite prediction that lower return R2 is associated with stronger medium-term price momentum and long-term price reversal, two commonly believed signs of market inefficiency. By examining stock returns both in the U.S. and internationally, we found empirical evidence consistent with this contrasting prediction. Overall, our analysis casts doubt on the argument that low return R2 is a measure of market efficiency.

Suggested Citation

  • Kewei Hou & Lin Peng & Wei Xiong, 2013. "Is R-Squared a Measure of Market Inefficiency?," Working Papers 2013-8, Princeton University. Economics Department..
  • Handle: RePEc:pri:econom:2013-8
    as

    Download full text from publisher

    File URL: http://wxiong.mycpanel.princeton.edu/papers/R2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. West, Kenneth D, 1988. "Dividend Innovations and Stock Price Volatility," Econometrica, Econometric Society, vol. 56(1), pages 37-61, January.
    3. Wurgler, Jeffrey, 2000. "Financial markets and the allocation of capital," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 187-214.
    4. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
    5. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    6. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    7. Söhnke M. Bartram & Gregory Brown & René M. Stulz, 2012. "Why Are U.S. Stocks More Volatile?," Journal of Finance, American Finance Association, vol. 67(4), pages 1329-1370, August.
    8. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    9. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    10. Kewei Hou & G. Andrew Karolyi & Bong-Chan Kho, 2011. "What Factors Drive Global Stock Returns?," The Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2527-2574.
    11. John M. Griffin & Xiuqing Ji & J. Spencer Martin, 2003. "Momentum Investing and Business Cycle Risk: Evidence from Pole to Pole," Journal of Finance, American Finance Association, vol. 58(6), pages 2515-2547, December.
    12. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    13. Dasgupta, Sudipto & Gan, Jie & Gao, Ning, 2010. "Transparency, Price Informativeness, and Stock Return Synchronicity: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1189-1220, October.
    14. Artyom Durnev & Randall Morck & Bernard Yeung & Paul Zarowin, 2003. "Does Greater Firm‐Specific Return Variation Mean More or Less Informed Stock Pricing?," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 797-836, December.
    15. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    16. John M. Griffin & Patrick J. Kelly & Federico Nardari, 2010. "Do Market Efficiency Measures Yield Correct Inferences? A Comparison of Developed and Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 3225-3277, August.
    17. 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.
    18. 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.
    19. Ross, Stephen A, 1989. " Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy," Journal of Finance, American Finance Association, vol. 44(1), pages 1-17, March.
    20. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    21. Chan, Kalok & Hameed, Allaudeen, 2006. "Stock price synchronicity and analyst coverage in emerging markets," Journal of Financial Economics, Elsevier, vol. 80(1), pages 115-147, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cai, Wenwu & Quan, Xiaofeng & Zhu, Zhenmei (Judy), 2023. "Rumors in the sky: Corporate rumors and stock price synchronicity," International Review of Financial Analysis, Elsevier, vol. 88(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hou, Kewei & Peng, Lin & Xiong, Wei, 2006. "R2 and Price Inefficiency," Working Paper Series 2006-23, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    2. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    3. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.
    4. Jacobs, Heiko, 2016. "Market maturity and mispricing," Journal of Financial Economics, Elsevier, vol. 122(2), pages 270-287.
    5. Lin, Mei-Chen & Wu, Chu-Hua & Chiang, Ming-Ti, 2014. "Investor attention and information diffusion from analyst coverage," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 235-246.
    6. Patrick J. Kelly, 2014. "Information Efficiency and Firm-Specific Return Variation," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-44.
    7. Thanh Huong Nguyen, 2019. "Information and Noise in Stock Markets: Evidence on the Determinants and Effects Using New Empirical Measures," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 7-2019.
    8. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    9. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    10. Li, Fengyu & Liu, Mark H. & Shi, Yongdong (Eric), 2017. "Institutional ownership around stock splits," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 14-40.
    11. Hanauer, Matthias X. & Windmüller, Steffen, 2023. "Enhanced momentum strategies," Journal of Banking & Finance, Elsevier, vol. 148(C).
    12. Joachim Gassen & Hollis A. Skaife & David Veenman, 2020. "Illiquidity and the Measurement of Stock Price Synchronicity," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 419-456, March.
    13. Dang, Tung Lam & Moshirian, Fariborz & Zhang, Bohui, 2015. "Commonality in news around the world," Journal of Financial Economics, Elsevier, vol. 116(1), pages 82-110.
    14. Kee-Hong Bae & Jin-Mo Kim & Yang Ni, 2013. "Is Firm-specific Return Variation a Measure of Information Efficiency?," International Review of Finance, International Review of Finance Ltd., vol. 13(4), pages 407-445, December.
    15. Moonsoo Kang & Kiseok Nam, 2015. "Informed trade and idiosyncratic return variation," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 551-572, April.
    16. Nguyen, Nhut H. & Truong, Cameron, 2013. "The information content of stock markets around the world: A cultural explanation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 1-29.
    17. Haga, Jesper & Högholm, Kenneth & Sundvik, Dennis, 2022. "Peer firms’ reporting frequency and stock price synchronicity: European evidence," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 49(C).
    18. Wu, Yuliang & Mazouz, Khelifa, 2016. "Long-term industry reversals," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 236-250.
    19. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    20. Ahmad Fraz & Arshad Hassan, 2017. "Stock Price Synchronicity and Information Environment," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 213-232, December.

    More about this item

    Keywords

    Stocks; R2; Stock Prices; Market Efficiency;
    All these keywords.

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pri:econom:2013-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bobray Bordelon (email available below). General contact details of provider: https://economics.princeton.edu/working-papers/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.