[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/cfr/cefirw/w0208.html
   My bibliography  Save this paper

Information Efficiency and Firm-Specific Return Variation

Author

Listed:
  • Patrick J. Kelly

    (New Economic School)

Abstract
Reasoning that private firm-specific information causes firm-specific return variation that drives down market-model R2s, Morck, Yeung, and Yu (2000) begin a large body of research which interprets R2 as an inverse measure of price informativeness. Low R2s or “synchronicity,” as it is called in this literature, signal that prices more efficiently incorporate private firm-specific information, and high R2s indicate less. For this to be true, we would expect that low-R2 stocks have characteristics that facilitate private informed trade, i.e. lower information costs and fewer impediments to arbitrage. However, in this paper we document the opposite: Low-R2 stocks are small, young, and followed by few analysts, and have high bid-ask spreads, high price impact, greater short-sale constraints and are infrequently traded. In fact, microstructure measures suggest that private-information events are less likely for low-R2 stocks than high, and that differences in R2 are driven as much by firm-specific volatility on days without private news as by firm-specific volatility on days with private news. These results call into question prior research using R2 to measure the information content of stock prices.

Suggested Citation

  • Patrick J. Kelly, 2014. "Information Efficiency and Firm-Specific Return Variation," Working Papers w0208, Center for Economic and Financial Research (CEFIR).
    • Handle: RePEc:cfr:cefirw:w0208
    as

    Download full text from publisher

    File URL: http://www.cefir.ru/papers/WP208.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Atiase, Rk, 1985. "Predisclosure Information, Firm Capitalization, And Security Price Behavior Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 21-36.
    2. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    3. 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.
    4. West, Kenneth D, 1988. "Dividend Innovations and Stock Price Volatility," Econometrica, Econometric Society, vol. 56(1), pages 37-61, January.
    5. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    6. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    7. Wurgler, Jeffrey, 2000. "Financial markets and the allocation of capital," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 187-214.
    8. John M. Griffin & Michael L. Lemmon, 2002. "Book‐to‐Market Equity, Distress Risk, and Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2317-2336, October.
    9. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 229-259.
    10. Sunil Sapra, 1998. "Bias and inefficiency of an ordinary least squares estimator for logit regressions with continuous dependent variables measured with error," Applied Economics Letters, Taylor & Francis Journals, vol. 5(12), pages 745-746.
    11. Kan Li & Randall Morck & Fan Yang & Bernard Yeung, 2004. "Firm-Specific Variation and Openness in Emerging Markets," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 658-669, August.
    12. Jones, Charles M & Seguin, Paul J, 1997. "Transaction Costs and Price Volatility: Evidence from Commission Deregulation," American Economic Review, American Economic Association, vol. 87(4), pages 728-737, September.
    13. 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.
    14. Ľuboš Pástor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1789, October.
    15. repec:bla:jfinan:v:58:y:2003:i:5:p:1749-1790 is not listed on IDEAS
    16. Kim, Sok Tae & Lin, Ji-Chai & Slovin, Myron B., 1997. "Market Structure, Informed Trading, and Analysts' Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 507-524, December.
    17. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2002. "Breadth of ownership and stock returns," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 171-205.
    18. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    19. repec:bla:jfinan:v:59:y:2004:i:1:p:65-105 is not listed on IDEAS
    20. Dow, James & Gorton, Gary, 1994. "Arbitrage Chains," Journal of Finance, American Finance Association, vol. 49(3), pages 819-849, July.
    21. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    22. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    23. Steven X. Wei & Chu Zhang, 2006. "Why Did Individual Stocks Become More Volatile?," The Journal of Business, University of Chicago Press, vol. 79(1), pages 259-292, January.
    24. Umlauf, Steven R., 1993. "Transaction taxes and the behavior of the Swedish stock market," Journal of Financial Economics, Elsevier, vol. 33(2), pages 227-240, April.
    25. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    26. Shiller, Robert J, 1981. "The Use of Volatility Measures in Assessing Market Efficiency," Journal of Finance, American Finance Association, vol. 36(2), pages 291-304, May.
    27. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    28. Fink, Jason & Fink, Kristin E. & Grullon, Gustavo & Weston, James P., 2010. "What Drove the Increase in Idiosyncratic Volatility during the Internet Boom?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1253-1278, October.
    29. 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.
    30. Arturo Bris & William N. Goetzmann & Ning Zhu, 2007. "Efficiency and the Bear: Short Sales and Markets Around the World," Journal of Finance, American Finance Association, vol. 62(3), pages 1029-1079, June.
    31. Lee, Dong Wook & Liu, Mark H., 2011. "Does more information in stock price lead to greater or smaller idiosyncratic return volatility?," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1563-1580, June.
    32. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    33. Richard Manning, 1996. "Logit regressions with continuous dependent variables measured with error," Applied Economics Letters, Taylor & Francis Journals, vol. 3(3), pages 183-184.
    34. Bessembinder, Hendrik, 2003. "Quote-based competition and trade execution costs in NYSE-listed stocks," Journal of Financial Economics, Elsevier, vol. 70(3), pages 385-422, December.
    35. Easley, David & Hvidkjaer, Soeren & O’Hara, Maureen, 2010. "Factoring Information into Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 293-309, April.
    36. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    37. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    38. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1997. "One Day in the Life of a Very Common Stock," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 805-835.
    39. 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.
    40. Paul J. Irvine & Jeffrey Pontiff, 2009. "Idiosyncratic Return Volatility, Cash Flows, and Product Market Competition," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1149-1177, March.
    41. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    42. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    43. 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.
    44. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    45. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    46. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    47. 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.
    48. Frankel, Richard & Li, Xu, 2004. "Characteristics of a firm's information environment and the information asymmetry between insiders and outsiders," Journal of Accounting and Economics, Elsevier, vol. 37(2), pages 229-259, June.
    49. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    50. 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.
    51. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    52. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    53. Frank L. Heflin & Kenneth W. Shaw & John J. Wild, 2005. "Disclosure Policy and Market Liquidity: Impact of Depth Quotes and Order Sizes," Contemporary Accounting Research, John Wiley & Sons, vol. 22(4), pages 829-865, December.
    54. Chemmanur, Thomas J & Fulghieri, Paolo, 1999. "A Theory of the Going-Public Decision," The Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 249-279.
    55. Barclay, Michael J & Litzenberger, Robert H & Warner, Jerold B, 1990. "Private Information, Trading Volume, and Stock-Return Variances," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 233-253.
    56. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    57. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    58. Ho, Thomas S. Y. & Michaely, Roni, 1988. "Information Quality and Market Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(1), pages 53-70, March.
    59. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    60. LeRoy, Stephen F & Porter, Richard D, 1981. "The Present-Value Relation: Tests Based on Implied Variance Bounds," Econometrica, Econometric Society, vol. 49(3), pages 555-574, May.
    61. Paul J. Irvine & Jeffrey Pontiff, 2009. "Idiosyncratic Return Volatility, Cash Flows, and Product Market Competition," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1149-1177.
    62. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
    63. Charles Cao & Timothy Simin & Jing Zhao, 2008. "Can Growth Options Explain the Trend in Idiosyncratic Risk?," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2599-2633, November.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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, January-A.
    6. 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.
    7. Michael J. Brennan & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2016. "Asymmetric Effects of Informed Trading on the Cost of Equity Capital," Management Science, INFORMS, vol. 62(9), pages 2460-2480, September.
    8. Hoang Luong Luong & Huong Giang (Lily) Nguyen & Xiangkang Yin, 2015. "When Is a Firm's Information Asymmetry Priced? The Role of Institutional Investors," International Review of Finance, International Review of Finance Ltd., vol. 15(1), pages 55-88, March.
    9. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    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. 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.
    12. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    13. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    14. Lof, Matthijs & Bommel, Jos van, 2018. "Asymmetric information and the distribution of trading volume," Research Discussion Papers 1, Bank of Finland.
    15. repec:zbw:bofrdp:001 is not listed on IDEAS
    16. Chang, Sanders S. & Chang, Lenisa V. & Wang, F. Albert, 2014. "A dynamic intraday measure of the probability of informed trading and firm-specific return variation," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 80-94.
    17. repec:zbw:bofrdp:2018_001 is not listed on IDEAS
    18. 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.
    19. Bryan Kelly & Alexander Ljungqvist, 2012. "Testing Asymmetric-Information Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1366-1413.
    20. Vikas Agarwal & Wei Jiang & Yuehua Tang & Baozhong Yang, 2013. "Uncovering Hedge Fund Skill from the Portfolio Holdings They Hide," Journal of Finance, American Finance Association, vol. 68(2), pages 739-783, April.
    21. Bennett, Benjamin & Stulz, René & Wang, Zexi, 2020. "Does the stock market make firms more productive?," Journal of Financial Economics, Elsevier, vol. 136(2), pages 281-306.
    22. Jennifer N. Carpenter & Fangzhou Lu & Robert F. Whitelaw, 2015. "The Real Value of China's Stock Market," NBER Working Papers 20957, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cfr:cefirw:w0208. 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: Julia Babich (email available below). General contact details of provider: https://edirc.repec.org/data/cefirru.html .

    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.