The VIX, the Variance Premium, and Expected Returns

Autor: Daniel Ventosa-Santaulària, Daniela Osterrieder, J. Eduardo Vera-Valdés
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Osterrieder, D, Ventosa-Santaulària, D & Vera-Valdés, J E 2019, ' The VIX, the Variance Premium, and Expected Returns ', Journal of Financial Econometrics, vol. 17, no. 4, pp. 517-558 . https://doi.org/10.1093/jjfinec/nby008
DOI: 10.1093/jjfinec/nby008
Popis: Existing 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.
Databáze: OpenAIRE