The VIX, the Variance Premium, and Expected Returns*

Author:

Osterrieder Daniela12,Ventosa-Santaulària Daniel3,Vera-Valdés J Eduardo24

Affiliation:

1. Rutgers—The State University of New Jersey

2. CREATES (Aarhus University)

3. Centro de Investigación y Docencia Económicas (CIDE)

4. Aalborg University

Abstract

AbstractExisting studies find conflicting estimates of the risk–return relation. We show that the trade-off parameter is inconsistently estimated when observed or estimated conditional variances measure risk. The inconsistency arises from misspecified, unbalanced, and endogenous return regressions. These problems are eliminated if risk is captured by the variance premium (VP) instead; it is unobservable, however. We propose a 2SLS estimator that produces consistent estimates without observing the VP. Using this method, we find a positive risk–return trade-off and long-run return predictability. Our approach outperforms commonly used risk–return estimation methods, and reveals a significant link between the VP and economic uncertainty.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics,Finance

Reference62 articles.

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2. Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility;Andersen;Review of Economics and Statistics,2007

3. Is there a Risk-Return Trade-Off? Evidence from High-Frequency Data;Bali;Journal of Applied Econometrics,2006

4. Risk, Uncertainty, and Expected Returns;Bali;Journal of Financial and Quantitative Analysis,2016

5. Long Memory and the Relation between Implied and Realized Volatility;Bandi;Journal of Financial Econometrics,2006

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