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Risk aversion, public disclosure, and partially informed outsiders

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  • Liu, Hong
  • Chai, Shujuan

Abstract

In this paper, we examine the impact of public disclosure and partially informed outsiders on a risk-averse insider’s trading behavior, market efficiency, and market depth. In our model, under disclosure requirements, except for the final auction, market depth is the same at every auction. When informed outsiders are risk-neutral, in contrast to the case of a risk-averse insider with no informed outsiders, the insider is more concerned about the uncertainty about future price risk. When the number of informed outsiders increases, market liquidity improves, and the insider increases the variance of her random component to conceal her trading strategy. However, since the insider is relatively more risk-averse, she pays less attention to doing this on her own. Besides, the order flow provided by informed outsiders and randomly added by the insider injects additional liquidity into the market. When informed outsiders are risk-averse, compared to risk-neutral informed outsiders, an insider is most concerned about trading risks brought by informed outsiders at the beginning of trading. Furthermore, whether the trader is an insider or informed outsider, the more risk-averse trader has lower expected profits. Moreover, outsiders’ greater risk aversion leads to a smaller market depth.

Suggested Citation

  • Liu, Hong & Chai, Shujuan, 2020. "Risk aversion, public disclosure, and partially informed outsiders," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940820301728
    DOI: 10.1016/j.najef.2020.101279
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    References listed on IDEAS

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    1. Narayanan, Ranga, 2000. "Insider trading and the voluntary disclosure of information by firms," Journal of Banking & Finance, Elsevier, vol. 24(3), pages 395-425, March.
    2. Chmura, Thorsten & Bai, Ye & Bauder, David, 2019. "The impact of an insider and short-selling on bubble formation in experimental financial market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 211-230.
    3. Easley, David & O'Hara, Maureen & Paperman, Joseph, 1998. "Financial analysts and information-based trade," Journal of Financial Markets, Elsevier, vol. 1(2), pages 175-201, August.
    4. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    5. Zhang, Wei David, 2004. "Risk aversion, public disclosure, and long-lived information," Economics Letters, Elsevier, vol. 85(3), pages 327-334, December.
    6. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    7. Zhang, Wei David, 2008. "Impact of outsiders and disclosed insider trades," Finance Research Letters, Elsevier, vol. 5(3), pages 137-145, September.
    8. Huddart, Steven & Hughes, John S & Levine, Carolyn B, 2001. "Public Disclosure and Dissimulation of Insider Trades," Econometrica, Econometric Society, vol. 69(3), pages 665-681, May.
    9. Gong, Fuzhou & Liu, Hong, 2012. "Inside trading, public disclosure and imperfect competition," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 200-223.
    10. 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.
    11. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1995. "Investment analysis and price formation in securities markets," Journal of Financial Economics, Elsevier, vol. 38(3), pages 361-381, July.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Holden, Craig W. & Subrahmanyam, Avanidhar, 1994. "Risk aversion, imperfect competition, and long-lived information," Economics Letters, Elsevier, vol. 44(1-2), pages 181-190.
    14. Liu, Hong & Zhang, Zhixiang, 2011. "Insider trading with public and shared information," Economic Modelling, Elsevier, vol. 28(4), pages 1756-1762, July.
    15. Qiang Cheng & Kin Lo, 2006. "Insider Trading and Voluntary Disclosures," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 815-848, December.
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