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Learning from Noise: Evidence from India’s IPO Lotteries

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  • Balasubramaniam, Vimal
  • Anagol, Santosh

Abstract

We study a natural experiment in which 1.5 million investors participate in allocation lotteries for Indian IPO stocks. Randomized IPO gains cause winning investors to increase applications to future IPOs and substantially increase portfolio trading volume in non-IPO stocks relative to lottery losers; the effects are symmetrically negative for experienced losses. Investors who have received multiple past IPO allocations show smaller responses, suggesting learning/selection moderates responses to noise shocks. The evidence is most consistent with investors learning about their own ability from experienced noise, drawing inferences about their skill from luck.

Suggested Citation

  • Balasubramaniam, Vimal & Anagol, Santosh, 2018. "Learning from Noise: Evidence from India’s IPO Lotteries," CEPR Discussion Papers 13314, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:13314
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    More about this item

    Keywords

    Learning; Lotteries; Causal inference; India; Experience; investment;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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