Learning from noise: evidence from India’s IPO lotteries
File(s)LearnNoise.pdf (884.56 KB)
Accepted version
Author(s)
Ramadorai, Tarun
Anagol, Santosh
Balasubramaniam, Vimal
Type
Journal Article
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.
Date Issued
2021-06-01
Date Acceptance
2020-06-19
Citation
Journal of Financial Economics, 2021, 140 (3), pp.965-986
ISSN
0304-405X
Publisher
Elsevier
Start Page
965
End Page
986
Journal / Book Title
Journal of Financial Economics
Volume
140
Issue
3
Copyright Statement
© Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Social Sciences
Business, Finance
Economics
Business & Economics
Investor behavior
Experience
Learning
Lotteries
Causal inference
India
MARKET EXPERIENCE
EXPECTATIONS
ILLUSION
OUTCOMES
WIN
1402 Applied Economics
1502 Banking, Finance and Investment
1606 Political Science
Finance
Publication Status
Published
Date Publish Online
2021-02-05