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Learning to Fail? Evidence from Frequent IPO Investors

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Author Info
Chiang, Yao-Min
Hirshleifer, David
Qian, Yiming
Sherman, Ann

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Abstract

We examine the effects of bidding experience on two groups of investors – individuals and institutions – in terms of their decisions to bid again and their bidding returns. Bidding histories are tracked for all 31,376 individual investors and 1,232 institutional investors across all 84 IPO auctions during 1995-2000 in Taiwan. For individual bidders: (1) high initial returns in IPO auctions increases the likelihood of participating in future auctions; (2) bidder returns steadily decrease as they participate in more auctions; (3) auction selection ability does not improve (and may get worse) with experience; and (4) greater experience is associated with more aggressive bid prices. These findings are consistent with naïve reinforcement learning wherein individuals become unduly optimistic after receiving good returns. In sharp contrast, there is little sign that institutional investors exhibit such behavior.

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File URL: http://mpra.ub.uni-muenchen.de/16854/
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 16854.

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Date of creation: Aug 2009
Date of revision: Aug 2009
Handle: RePEc:pra:mprapa:16854

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Related research
Keywords: IPO; auction; investor behavior; learning; reinforcement learning; institutional investor; individual investor; experience.;

Find related papers by JEL classification:
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Capital and Ownership Structure
G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-59, May. [Downloadable!] (restricted)
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  3. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 14(1), pages 1-27.
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  4. Sherman, Ann E., 2005. "Global trends in IPO methods: Book building versus auctions with endogenous entry," Journal of Financial Economics, Elsevier, vol. 78(3), pages 615-649, December. [Downloadable!] (restricted)
  5. Lei Feng & Mark S. Seasholes, 2005. "Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets?," Review of Finance, Oxford University Press for European Finance Association, vol. 9(3), pages 305-351. [Downloadable!] (restricted)
  6. Reza Mahani & Dan Bernhardt, 2007. "Financial Speculators' Underperformance: Learning, Self-Selection, and Endogenous Liquidity," Journal of Finance, American Finance Association, vol. 62(3), pages 1313-1340, 06. [Downloadable!] (restricted)
  7. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
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