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Pinning down an effective measure for probability of informed trading

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  • Petchey, James
  • Wee, Marvin
  • Yang, Joey

Abstract

This paper investigates whether measures of the probability of information-based trading (PIN) estimated from microstructure models capture the effects of information asymmetry and trading by informed traders. To address the issue of the joint hypothesis, we examine the effectiveness of these measures using a sample of merger and acquisition (M&A) announcements that are known to be associated with illegal insider trading. We find that the PIN measure decreases prior to the announcements, while a modified measure that allows for the autoregressive conditional duration (ACD) of trades and the time-varying probabilities of news better reflects the presence of informed trading. Our results also suggest that the modified specification (PIN-AACD) overcomes some of the estimation problems found in the PIN measure in prior research.

Suggested Citation

  • Petchey, James & Wee, Marvin & Yang, Joey, 2016. "Pinning down an effective measure for probability of informed trading," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 456-475.
    • Handle: RePEc:eee:pacfin:v:40:y:2016:i:pb:p:456-475
    DOI: 10.1016/j.pacfin.2016.06.006
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    1. 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.
    2. Luc Bauwens & Pierre Giot, 2003. "Asymmetric ACD models: Introducing price information in ACD models," Empirical Economics, Springer, vol. 28(4), pages 709-731, November.
    3. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    4. 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.
    5. Boehmer, Ekkehart & Grammig, Joachim & Theissen, Erik, 2007. "Estimating the probability of informed trading--does trade misclassification matter?," Journal of Financial Markets, Elsevier, vol. 10(1), pages 26-47, February.
    6. Cornell, Bradford & Sirri, Erik R, 1992. "The Reaction of Investors and Stock Prices to Insider Trading," Journal of Finance, American Finance Association, vol. 47(3), pages 1031-1059, July.
    7. Dennis, Debra K. & McConnell, John J., 1986. "Corporate mergers and security returns," Journal of Financial Economics, Elsevier, vol. 16(2), pages 143-187, June.
    8. Meulbroek, Lisa K, 1992. "An Empirical Analysis of Illegal Insider Trading," Journal of Finance, American Finance Association, vol. 47(5), pages 1661-1699, December.
    9. Goergen, Marc & Mazouz, Khelifa & Yin, Shuxing, 2010. "Price, volume and spread effects associated with the expiry of lock-in agreements: Evidence from the Hong Kong IPO market," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 442-459, November.
    10. 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.
    11. Engle, Robert F. & Russell, Jeffrey R., 1997. "Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 187-212, June.
    12. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2008. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 171-207, Spring.
    13. 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.
    14. 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.
    15. Ravinder Nath, 1996. "A Note on Testing for Skewness Persistence," Management Science, INFORMS, vol. 42(1), pages 138-141, January.
    16. 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.
    17. Bhattacharya, Utpal & Daouk, Hazem & Jorgenson, Brian & Kehr, Carl-Heinrich, 2000. "When an event is not an event: the curious case of an emerging market," Journal of Financial Economics, Elsevier, vol. 55(1), pages 69-101, January.
    18. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    19. 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.
    20. Bai, Min & Qin, Yafeng, 2014. "Short-sales constraints and liquidity change: Cross-sectional evidence from the Hong Kong Market," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 98-122.
    21. Keown, Arthur J & Pinkerton, John M, 1981. "Merger Announcements and Insider Trading Activity: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 36(4), pages 855-869, September.
    22. Ajinkya, Bipin B. & Jain, Prem C., 1989. "The behavior of daily stock market trading volume," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 331-359, November.
    23. 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.
    24. Gordon, Narelle & Watts, Edward & Wu, Qiongbing, 2014. "Information attributes, information asymmetry and industry sector returns," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 156-175.
    25. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    26. William Lin, Hsiou-Wei & Ke, Wen-Chyan, 2011. "A computing bias in estimating the probability of informed trading," Journal of Financial Markets, Elsevier, vol. 14(4), pages 625-640, November.
    27. Anthony Tay & Christopher Ting & Yiu Kuen Tse & Mitch Warachka, 2009. "Using High-Frequency Transaction Data to Estimate the Probability of Informed Trading," Journal of Financial Econometrics, Oxford University Press, vol. 7(3), pages 288-311, Summer.
    28. Aslan, Hadiye & Easley, David & Hvidkjaer, Soeren & O'Hara, Maureen, 2011. "The characteristics of informed trading: Implications for asset pricing," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 782-801.
    29. David Easley & Marcos M. López de Prado & Maureen O'Hara, 2012. "Flow Toxicity and Liquidity in a High-frequency World," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1457-1493.
    30. 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.
    31. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    32. 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.
    33. 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.
    34. Podolski, Edward J. & Truong, Cameron & Veeraraghavan, Madhu, 2013. "Informed options trading prior to takeovers – Does the regulatory environment matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 286-305.
    35. Quan Gan & Wang Chun Wei & David Johnstone, 2015. "A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1805-1821, November.
    36. Kumar, Alok, 2009. "Hard-to-Value Stocks, Behavioral Biases, and Informed Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1375-1401, December.
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