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Mitigating free riding in social networks: The impact of underestimating others’ ability in financial market

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  • Ding, Jing
  • Fang, Libing
  • Chen, Shi

Abstract

This study investigates overconfident traders who underestimate their contemporaries’ information processing ability, and it examines the impact of these traders on the financial market within the framework of social networks. As a byproduct, we also explore the impact of traders who overestimate their own ability, which is another manifestation of overconfidence. We find that when information acquisition is endogenous, market outcomes are improved by the effects of both underestimation and overestimation biases. The underlying logic is that traders’ overconfidence adds friction to free-riding on contemporaries’ information, thereby mitigating the information crowding-out effect of social communication. The results are robust to the extension of endogenous network formation and varying information acquisition costs.

Suggested Citation

  • Ding, Jing & Fang, Libing & Chen, Shi, 2020. "Mitigating free riding in social networks: The impact of underestimating others’ ability in financial market," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 582-599.
    • Handle: RePEc:eee:reveco:v:70:y:2020:i:c:p:582-599
    DOI: 10.1016/j.iref.2020.07.007
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    1. repec:cup:cbooks:9780511761942 is not listed on IDEAS
    2. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2008. "The Small World of Investing: Board Connections and Mutual Fund Returns," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 951-979, October.
    3. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    4. Zoran Ivkovi & Scott Weisbenner, 2007. "Information Diffusion Effects in Individual Investors' Common Stock Purchases: Covet Thy Neighbors' Investment Choices," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1327-1357.
    5. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    6. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    7. Alexander Puetz & Stefan Ruenzi, 2011. "Overconfidence Among Professional Investors: Evidence from Mutual Fund Managers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(5-6), pages 684-712, June.
    8. Itzhak Ben-David & John R. Graham, 2013. "Managerial Miscalibration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1547-1584.
    9. Han N. Ozsoylev & Johan Walden & M. Deniz Yavuz & Recep Bildik, 2014. "Investor Networks in the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1323-1366.
    10. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    11. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    12. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2004. "The Role of Social Capital in Financial Development," American Economic Review, American Economic Association, vol. 94(3), pages 526-556, June.
    13. Ko, K. Jeremy & (James) Huang, Zhijian, 2007. "Arrogance can be a virtue: Overconfidence, information acquisition, and market efficiency," Journal of Financial Economics, Elsevier, vol. 84(2), pages 529-560, May.
    14. Bing Han & Liyan Yang, 2013. "Social Networks, Information Acquisition, and Asset Prices," Management Science, INFORMS, vol. 59(6), pages 1444-1457, June.
    15. Guiso, Luigi & Sapienza, Paola & Zingales, Luigi, 2003. "People's opium? Religion and economic attitudes," Journal of Monetary Economics, Elsevier, vol. 50(1), pages 225-282, January.
    16. Tian Liang, 2013. "Overconfidence and endogenous information acquisition," China Finance Review International, Emerald Group Publishing Limited, vol. 3(1), pages 5-25, January.
    17. Hu, May & Chao, Chi-Chur & Lim, Jin Hao, 2016. "Another explanation of the mutual fund fee puzzle," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 134-152.
    18. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2008. "Trusting the Stock Market," Journal of Finance, American Finance Association, vol. 63(6), pages 2557-2600, December.
    19. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    20. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
    21. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    22. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2004. "Social Interaction and Stock-Market Participation," Journal of Finance, American Finance Association, vol. 59(1), pages 137-163, February.
    23. Benos, Alexandros V., 1998. "Aggressiveness and survival of overconfident traders," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 353-383, September.
    24. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    25. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2005. "Thy Neighbor's Portfolio: Word‐of‐Mouth Effects in the Holdings and Trades of Money Managers," Journal of Finance, American Finance Association, vol. 60(6), pages 2801-2824, December.
    26. Rossi, Alberto G. & Blake, David & Timmermann, Allan & Tonks, Ian & Wermers, Russ, 2018. "Network centrality and delegated investment performance," Journal of Financial Economics, Elsevier, vol. 128(1), pages 183-206.
    27. Shuming Liu, 2015. "Investor Sentiment and Stock Market Liquidity," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 51-67, January.
    28. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    29. Verrecchia, Robert E, 1982. "Information Acquisition in a Noisy Rational Expectations Economy," Econometrica, Econometric Society, vol. 50(6), pages 1415-1430, November.
    30. Mark Grinblatt & Matti Keloharju, 2009. "Sensation Seeking, Overconfidence, and Trading Activity," Journal of Finance, American Finance Association, vol. 64(2), pages 549-578, April.
    31. Jan Schneider, 2009. "A Rational Expectations Equilibrium with Informative Trading Volume," Journal of Finance, American Finance Association, vol. 64(6), pages 2783-2805, December.
    32. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
    33. Gong, Fuzhou & Liu, Hong, 2016. "Asymmetric information, heterogeneous prior beliefs, and public information," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 100-120.
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