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Asymmetric Effects of Informed Trading on the Cost of Equity Capital

Author

Listed:
  • Michael J. Brennan

    (Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095; and Manchester Business School, University of Manchester, Manchester M13 9PL, United Kingdom)

  • Sahn-Wook Huh

    (School of Management, University (SUNY) at Buffalo, Buffalo, New York 14260)

  • Avanidhar Subrahmanyam

    (Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095)

Abstract

We decompose PIN, the probability of informed trading, into good-news (PIN_G) and bad-news (PIN_B) components, which we estimate at a quarterly frequency. We first assess the validity of PIN as a measure of informed trading by calculating its association with measures of the adverse-selection component of the cost of trading. We then provide new evidence that PIN_G and PIN_B capture informed trading around earnings announcements by showing that they predict positive and negative earnings surprises, respectively. Conjecturing that investors who take long positions will be more concerned about informed selling than about informed buying since the former depresses the sale price whereas the latter raises it, we then investigate asymmetry in the pricing of private information. We find strong evidence of such asymmetry in that the effect of PIN_B on the cost of equity capital is large and highly significant, whereas the effect of PIN_G is small and statistically insignificant.Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2015.2250 . This paper was accepted by Neng Wang, finance .

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormnsc:v:62:y:2016:i:9:p:2460-2480
    DOI: 10.1287/mnsc.2015.2250
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    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    3. 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.
    4. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1996. "Market microstructure and asset pricing: On the compensation for illiquidity in stock returns," Journal of Financial Economics, Elsevier, vol. 41(3), pages 441-464, July.
    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. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    8. Michael Brennan & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2013. "An Analysis of the Amihud Illiquidity Premium," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 3(1), pages 133-176.
    9. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    10. Brown, Stephen & Hillegeist, Stephen A. & Lo, Kin, 2004. "Conference calls and information asymmetry," Journal of Accounting and Economics, Elsevier, vol. 37(3), pages 343-366, September.
    11. Andrew Ellul & Marco Pagano, 2006. "IPO Underpricing and After-Market Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 381-421.
    12. Mohanram, Partha & Rajgopal, Shiva, 2009. "Is PIN priced risk?," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 226-243, June.
    13. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
    14. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    15. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    16. 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.
    17. Qi Chen & Itay Goldstein & Wei Jiang, 2007. "Price Informativeness and Investment Sensitivity to Stock Price," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 619-650.
    18. 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.
    19. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    20. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    21. Aktas, Nihat & de Bodt, Eric & Declerck, Fany & Van Oppens, Herve, 2007. "The PIN anomaly around M&A announcements," Journal of Financial Markets, Elsevier, vol. 10(2), pages 169-191, May.
    22. 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.
    23. AKTAS, Nihat & DE BODT, Eric & DECLERCK, Fany & VAN OPPENS, Hervé, 2007. "The PIN anomaly around M&A announcements," LIDAM Reprints CORE 1965, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    24. 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.
    25. Doron Avramov & Tarun Chordia, 2006. "Asset Pricing Models and Financial Market Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 1001-1040.
    26. Hwang, Lee-Seok & Lee, Woo-Jong & Lim, Seung-Yeon & Park, Kyung-Ho, 2013. "Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN," Journal of Accounting and Economics, Elsevier, vol. 55(2), pages 148-167.
    27. Lai, Sandy & Ng, Lilian & Zhang, Bohui, 2014. "Does PIN affect equity prices around the world?," Journal of Financial Economics, Elsevier, vol. 114(1), pages 178-195.
    28. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    29. Asparouhova, Elena & Bessembinder, Hendrik & Kalcheva, Ivalina, 2010. "Liquidity biases in asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 215-237, May.
    30. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2012. "Sell-order liquidity and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 523-541.
    31. Michael J. Brennan & Ashley W. Wang, 2010. "The Mispricing Return Premium," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3437-3468.
    32. Huh, Sahn-Wook, 2014. "Price impact and asset pricing," Journal of Financial Markets, Elsevier, vol. 19(C), pages 1-38.
    33. Yan, Yuxing & Zhang, Shaojun, 2012. "An improved estimation method and empirical properties of the probability of informed trading," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 454-467.
    34. Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2014. "Have capital market anomalies attenuated in the recent era of high liquidity and trading activity?," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 41-58.
    35. 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.
    36. 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.
    37. Tarun Chordia & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2009. "Theory-Based Illiquidity and Asset Pricing," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3629-3668, September.
    38. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    39. Shai Levi & Xiao-Jun Zhang, 2015. "Do Temporary Increases in Information Asymmetry Affect the Cost of Equity?," Management Science, INFORMS, vol. 61(2), pages 354-371, February.
    40. Tarun Chordia & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2007. "The Cross-Section of Expected Trading Activity," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 709-740.
    41. Rendleman, Richard Jr. & Jones, Charles P. & Latane, Henry A., 1982. "Empirical anomalies based on unexpected earnings and the importance of risk adjustments," Journal of Financial Economics, Elsevier, vol. 10(3), pages 269-287, November.
    42. Vega, Clara, 2006. "Stock price reaction to public and private information," Journal of Financial Economics, Elsevier, vol. 82(1), pages 103-133, October.
    43. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    44. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    45. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    46. Allen B. Atkins & Edward A. Dyl, 1997. "Market Structure And Reported Trading Volume: Nasdaq Versus The Nyse," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(3), pages 291-304, September.
    47. Lee, Charles M. C. & Radhakrishna, Balkrishna, 2000. "Inferring investor behavior: Evidence from TORQ data," Journal of Financial Markets, Elsevier, vol. 3(2), pages 83-111, May.
    48. Odders-White, Elizabeth R., 2000. "On the occurrence and consequences of inaccurate trade classification," Journal of Financial Markets, Elsevier, vol. 3(3), pages 259-286, August.
    49. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar, 1998. "Alternative factor specifications, security characteristics, and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 49(3), pages 345-373, September.
    50. 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.
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    8. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
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    10. Max Schreder & Pawel Bilinski, 2022. "Information Quality and the Expected Rate of Return: A Structural Equation Modelling Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 139-170, June.

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