Heterogeneity Through Market Entrance: An Overlapping Generations Model with Non-Bayesian Learning
- 1 January 2010
- preprint
- Published by Elsevier BV in SSRN Electronic Journal
Abstract
Ample empirical and experimental evidence documents that individuals place greater weight on information gained through personal experience -- a phenomenon that Tversky and Kahneman (1982) call availability bias. I embed this bias in an overlapping generations equilibrium model in which the period that investors first enter the market establishes the starting point of their experience history. The difference in the individuals' experience leads to heterogeneity among agents and perceived noise trading. The model captures several empirical findings. It explains why returns on high-volume trading days tend to revert. Furthermore, it provides explanations for a high trading volume, a connection between trading volume and volatility, excess volatility, and overreaction and reversal patterns. Consistent with empirical evidence, young investors buy high and sell low, trade frequently, and obtain lower returns. For intraday trading, it predicts a high trading volume around the opening hours, especially for cross-listed stocks.This publication has 31 references indexed in Scilit:
- Biased Beliefs, Asset Prices, and Investment: A Structural ApproachThe Journal of Finance, 2014
- Asset Prices with Heterogeneity in Preferences and BeliefsThe Review of Financial Studies, 2013
- X-CAPM: An Extrapolative Capital Asset Pricing ModelPublished by National Bureau of Economic Research ,2013
- Asset Pricing when 'This Time is Different'SSRN Electronic Journal, 2013
- Investment Horizons and Asset Prices Under Asymmetric InformationSSRN Electronic Journal, 2012
- Risks for the Long Run: A Potential Resolution of Asset Pricing PuzzlesThe Journal of Finance, 2004
- Style investingJournal of Financial Economics, 2003
- Boys will be Boys: Gender, Overconfidence, and Common Stock InvestmentThe Quarterly Journal of Economics, 2001
- Trading Volume and Serial Correlation in Stock ReturnsThe Quarterly Journal of Economics, 1993
- Agreeing to DisagreeThe Annals of Statistics, 1976