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R2 and idiosyncratic volatility: Which captures the firm-specific return variation?

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  • Zhang, Wei
  • Li, Xiao
  • Shen, Dehua
  • Teglio, Andrea

Abstract

A growing literature regards R2 and idiosyncratic volatility as interchangeable proxies for firm-specific return variation and examines its relations to information efficiency. However, the question on choosing the appropriate proxy, i.e., R2 or idiosyncratic volatility, is less investigated. This paper provides alternative evidences that R2 and idiosyncratic volatility are not interchangeable with the utilization of a unique short selling mechanism in China. Specifically, we mainly find that 1) R2 is not a satisfied proxy when the information environment for individual firm is improved, while idiosyncratic volatility is a satisfied proxy under the improved information environment; 2) R2 and idiosyncratic volatility are satisfied proxies for firm-specific return variation when the information environment for individual firm is deteriorated. These results also complement the existing literature on figuring out the appropriate proxy for firm-specific return variation under different information environment.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecmode:v:55:y:2016:i:c:p:298-304
    DOI: 10.1016/j.econmod.2016.02.025
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    1. 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.
    2. Cheng, Louis T.W. & Leung, T.Y. & Yu, Wayne, 2014. "Information arrival, changes in R-square and pricing asymmetry of corporate news," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 67-81.
    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. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    5. Wurgler, Jeffrey, 2000. "Financial markets and the allocation of capital," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 187-214.
    6. Yexiao Xu & Burton G. Malkiel, 2003. "Investigating the Behavior of Idiosyncratic Volatility," The Journal of Business, University of Chicago Press, vol. 76(4), pages 613-644, October.
    7. 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.
    8. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    9. 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.
    10. Barberis, Nicholas & Shleifer, Andrei & Wurgler, Jeffrey, 2005. "Comovement," Journal of Financial Economics, Elsevier, vol. 75(2), pages 283-317, February.
    11. Zhang, Wei & Shen, Dehua & Zhang, Yongjie & Xiong, Xiong, 2013. "Open source information, investor attention, and asset pricing," Economic Modelling, Elsevier, vol. 33(C), pages 613-619.
    12. repec:bla:jfinan:v:59:y:2004:i:1:p:65-105 is not listed on IDEAS
    13. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    14. Leuz, C & Verrecchia, RE, 2000. "The economic consequences of increased disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 91-124.
    15. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    16. 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.
    17. 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.
    18. 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.
    19. Cai, Jinghan & Xia, Le, 2014. "When R2 meets the short-sales constraints," Economics Letters, Elsevier, vol. 125(3), pages 336-339.
    20. 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.
    21. Jin, Xi & Shen, Dehua & Zhang, Wei, 2016. "Has microblogging changed stock market behavior? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 151-156.
    22. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    23. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
    24. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 1-20, February.
    25. Hutton, Amy P. & Marcus, Alan J. & Tehranian, Hassan, 2009. "Opaque financial reports, R2, and crash risk," Journal of Financial Economics, Elsevier, vol. 94(1), pages 67-86, October.
    26. 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.
    27. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 1-20.
    28. Jeffrey Pontiff, 1996. "Costly Arbitrage: Evidence from Closed-End Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1135-1151.
    29. Pontiff, Jeffrey, 2006. "Costly arbitrage and the myth of idiosyncratic risk," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 35-52, October.
    30. Diamond, Douglas W & Verrecchia, Robert E, 1991. "Disclosure, Liquidity, and the Cost of Capital," Journal of Finance, American Finance Association, vol. 46(4), pages 1325-1359, September.
    31. Mashruwala, Christina & Rajgopal, Shivaram & Shevlin, Terry, 2006. "Why is the accrual anomaly not arbitraged away? The role of idiosyncratic risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 3-33, October.
    32. 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.
    33. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.
    34. Maureen O'Hara, 2003. "Presidential Address: Liquidity and Price Discovery," Journal of Finance, American Finance Association, vol. 58(4), pages 1335-1354, August.
    35. 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.
    36. repec:bla:jfinan:v:59:y:2004:i:4:p:1553-1583 is not listed on IDEAS
    37. Feng, Lei & Seasholes, Mark S., 2008. "Individual investors and gender similarities in an emerging stock market," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 44-60, January.
    38. Conghui Hu & Shasha Liu, 2013. "The Implications of Low R 2 : Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(1), pages 17-32, January.
    39. 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)

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    4. 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.
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    7. Shen, Dehua & Li, Xiao & Xue, Mei & Zhang, Wei, 2017. "Does microblogging convey firm-specific information? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 621-626.
    8. Li, Xiao & Xing, Yao, 2023. "When stock return synchronicity meets investor sentiment," Finance Research Letters, Elsevier, vol. 53(C).
    9. Feng, Xunan & Chan, Kam C., 2016. "Information advantage, short sales, and stock returns: Evidence from short selling reform in China," Economic Modelling, Elsevier, vol. 59(C), pages 131-142.
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    15. Chen Chen & M. Mahdi Moeini Gharagozloo & Layla Darougar & Lei Shi, 2022. "The way digitalization is impacting international financial markets: Stock price synchronicity," International Finance, Wiley Blackwell, vol. 25(3), pages 396-415, December.
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    18. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
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    21. Shen, Dehua & Tong, Zezheng & Goodell, John W., 2024. "Do online message boards convey cryptocurrency-specific information?," International Review of Financial Analysis, Elsevier, vol. 91(C).

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    More about this item

    Keywords

    R2; Idiosyncratic volatility; Short selling; Firm-specific return variation; Information environment;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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