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Identifying Information Asymmetry in Securities Markets

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  • Kerry Back
  • Kevin Crotty
  • Tao Li

Abstract

We propose and estimate a model of endogenous informed trading that is a hybrid of the PIN and Kyle models. When an informed trader trades optimally, both returns and order flows are needed to identify information asymmetry parameters. Empirical relationships between parameter estimates and price impacts and between parameter estimates and stochastic volatility are consistent with theory. We illustrate how the estimates can be used to detect information events in the time series and to characterize the information content of prices in the cross-section. We also compare the estimates to those from other models on various criteria. Received April 5, 2017; editorial decision September 21, 2017 by Editor Itay Goldstein. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • Kerry Back & Kevin Crotty & Tao Li, 2018. "Identifying Information Asymmetry in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2277-2325.
    • Handle: RePEc:oup:rfinst:v:31:y:2018:i:6:p:2277-2325.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhx133
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    Citations

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    Cited by:

    1. Chung, Kee H. & Kim, Oliver & Lim, Steve C. & Yang, Sean, 2019. "An analytical measure of market underreaction to earnings news," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 612-624.
    2. Chang, Sanders S. & Albert Wang, F., 2019. "Informed contrarian trades and stock returns," Journal of Financial Markets, Elsevier, vol. 42(C), pages 75-93.
    3. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    4. Czech, Robert & Pintér, Gábor, 2020. "Informed trading and the dynamics of client-dealer connections in corporate bond markets," Bank of England working papers 895, Bank of England, revised 20 Jan 2022.
    5. Ping-Chen Tsai & Chi-Ming Tsai, 2021. "Estimating the proportion of informed and speculative traders in financial markets: evidence from exchange rate," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 443-470, July.
    6. Marc Bohmann, 2020. "Price Discovery and Information Asymmetry in Equity and Commodity Futures Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2020.
    7. Yang, Yung Chiang & Zhang, Bohui & Zhang, Chu, 2020. "Is information risk priced? Evidence from abnormal idiosyncratic volatility," Journal of Financial Economics, Elsevier, vol. 135(2), pages 528-554.
    8. Dimitris Papadimitriou, 2023. "Trading under uncertainty about other market participants," The Financial Review, Eastern Finance Association, vol. 58(2), pages 343-367, May.
    9. Czech, Robert & Della Corte, Pasquale & Huang, Shiyang & Wang, Tianyu, 2022. "FX option volume," Bank of England working papers 964, Bank of England.
    10. Ibrahim Ekren & Brad Mostowski & Gordan v{Z}itkovi'c, 2022. "Kyle's Model with Stochastic Liquidity," Papers 2204.11069, arXiv.org.
    11. Mariia Kosar & Sergei Mikhalishchev, 2022. "Inattentive Price Discovery in ETFs," CERGE-EI Working Papers wp735, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. Chao Ying, 2020. "The Pre-FOMC Announcement Drift and Private Information: Kyle Meets Macro-Finance," 2020 Papers pyi149, Job Market Papers.
    13. Chu, Gang & Li, Xiao & Zhang, Yongjie, 2022. "Information demand and net selling around earnings announcement," Research in International Business and Finance, Elsevier, vol. 59(C).
    14. Shreya Bose & Ibrahim Ekren, 2021. "Multidimensional Kyle-Back model with a risk averse informed trader," Papers 2111.01957, arXiv.org.
    15. Duarte, Jefferson & Hu, Edwin & Young, Lance, 2020. "A comparison of some structural models of private information arrival," Journal of Financial Economics, Elsevier, vol. 135(3), pages 795-815.
    16. Bohmann, Marc & Michayluk, David & Patel, Vinay & Walsh, Kathleen, 2019. "Liquidity and earnings in event studies: Does data granularity matter?," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 118-131.

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