Published online by Cambridge University Press: 06 August 2020
A simple asset pricing model with both endogenous stock market participation and subjective risk can explain the negative cross-country correlation between participation rates and the volatility of excess returns, along with the time-varying participation rates in the data. Belief-driven learning dynamics can explain the interplay between participation rates, subjective risk, and stock price volatility. When agents adaptively learn about the risk and return, my model generates 25% of the excess volatility observed in US stock prices, while also matching key moments. With learning about risk, excess volatility of stock prices is driven by fluctuations in the participation rate that arise because agents’ risk estimates vary with prices. I find that learning about risk is quantitatively more important than learning about returns.
Discipline of Finance, The University of Sydney. I am deeply indebted to Bill Branch for his extensive input on this paper. I would also like to thank John Duffy, David Hirshleifer, Chong Huang, Fabio Milani, Guillaume Rocheteau, Eric Swanson, Pat Testa, participants at the SNDE Symposium and two anonymous referees for their valuable feedback. All errors are my own.