The empirical risk-return relation: A factor analysis approach

Sydney Ludvigson, Serena Ng

    Research output: Contribution to journalArticle

    Abstract

    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.

    Original languageEnglish (US)
    Pages (from-to)171-222
    Number of pages52
    JournalJournal of Financial Economics
    Volume83
    Issue number1
    DOIs
    StatePublished - Jan 2007

    Fingerprint

    Risk-return
    Factor analysis
    Factors
    Stock market returns
    Predictors
    Conditional volatility
    Excess volatility
    Conditioning
    Dynamic factor analysis
    Out-of-sample forecasting
    Economics of information
    Excess returns
    Volatility risk premium

    Keywords

    • Expected returns
    • Sharpe ratio
    • Stock market volatility

    ASJC Scopus subject areas

    • Accounting
    • Finance
    • Economics and Econometrics
    • Strategy and Management

    Cite this

    The empirical risk-return relation : A factor analysis approach. / Ludvigson, Sydney; Ng, Serena.

    In: Journal of Financial Economics, Vol. 83, No. 1, 01.2007, p. 171-222.

    Research output: Contribution to journalArticle

    Ludvigson, Sydney ; Ng, Serena. / The empirical risk-return relation : A factor analysis approach. In: Journal of Financial Economics. 2007 ; Vol. 83, No. 1. pp. 171-222.
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