Expected Stock Returns and the Correlation Risk Premium
Abstract
In general equilibrium settings with stochastic variance and correlation, the market-return is driven by shocks to consumption, market variance andĀ average correlation between stocks, and hence the equity risk premium is... [ view full abstract ]
In general equilibrium settings with stochastic variance and correlation, the market-return is driven by shocks to consumption, market variance andĀ average correlation between stocks, and hence the equity risk premium is composed of compensations for variance, correlation and consumption risks. A new empirical methodology of market return prediction, such that estimating variance and correlation betas from the joint dynamics of option-implied-variables and index-returns is proposed, resulting in significant out-of-sample R2's of 10,4% (7,0%) for 3 (12)-months forecast horizons. Inline with a risk-based explanation for the existence of a correlation risk premium, we document that expected correlation predicts future diversification risks.
Authors
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Lorenzo Schoenleber
(Frankfurt School of Finance and Management)
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Adrian Buss
(INSEAD)
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Grigory Vilkov
(Frankfurt School of Finance and Management)
Topic Areas
Equilibrium Models , Options , Systemic Risk
Session
PS » Poster Presentations (11:00 - Monday, 16th July)
Presentation Files
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