The empirical risk-return relation: A factor analysis approach

• 成果类型: Article
• 署名作者: Ludvigson, Sydney C.; Ng, Serena
• 署名单位: New York University; University of Michigan System; University of Michigan
• 刊物名称: JOURNAL OF FINANCIAL ECONOMICS
• ISSN/ISSBN: 0304-405X
• DOI: 10.1016/j.jfineco.2005.12.002
• 发表日期: 2007
• 页码: 171-222
• 关键词: stock market volatility; Expected returns; Sharpe ratio

摘要

Existing empirical literature on the risk-return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic Factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors-termed volatility, risk premium, and real factors-contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16-20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk-return correlation. (c) 2006 Elsevier B.V. All rights reserved.