US stock prices and recency-biased learning in the run-up to the Global Financial Crisis and its aftermath

B-Tier
Journal: Journal of International Money and Finance
Year: 2020
Volume: 104
Issue: C

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper presents a consumption-based asset pricing model in which fluctuations in stock prices are driven by investors’ time-varying subjective expectations about the dividend process. In line with the empirical literature, investors display recency bias when revising their beliefs about the actual dividend process and recursively discount the precision of past observations. Recency-biased learning significantly improves the ability of the standard model to replicate the boom-and-bust episode on the US S&P 500 stock market in the run-up to the Global Financial Crisis and its aftermath, along with features of subjective expectations of stock returns documented in survey data.

Technical Details

RePEc Handle
repec:eee:jimfin:v:104:y:2020:i:c:s0261560618304790
Journal Field
International
Author Count
1
Added to Database
2026-01-25