Extrapolation Bias and the Predictability of Stock Returns by Price-Scaled Variables

• 成果类型: Article
• 署名作者: Cassella, Stefano; Gulen, Huseyin
• 署名单位: Tilburg University; Purdue University System; Purdue University
• 刊物名称: REVIEW OF FINANCIAL STUDIES
• ISSN/ISSBN: 0893-9454
• DOI: 10.1093/rfs/hhx139
• 发表日期: 2018
• 页码: 4345
• 关键词: BOOK-TO-MARKET; PREDICTING RETURNS; RISK; expectations; sample; Dividends; forecasts; MODEL

摘要

Using survey data on expectations of stock returns, we recursively estimate the degree of extrapolative weighting in investors' beliefs (DOX). In an extrapolation framework, DOX determines the relative weight investors place on recent-versus-distant returns. DOX varies considerably over time. The ability of price-scaled variables to predict the year-ahead equity premium is contingent on DOX. High price-scaled variables are followed by lower returns only when DOX is high. Our findings support extrapolation-based theories of the stock market and the interpretation of price-scaled variables as mispricing proxies. Our results help answer a critical question: when will an overvalued asset experience a correction?