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Global Variance Risk Premium and Forex Return Predictability

Aloosh, Arash (2014): Global Variance Risk Premium and Forex Return Predictability.

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Abstract

In a long-run risk model with stochastic volatility and frictionless markets, I express expected forex returns as a function of consumption growth variances and stock variance risk premiums (VRPs)—the difference between the risk-neutral and statistical expectations of market return variation. This provides a motivation for using the forward-looking information available in stock market volatility indices to predict forex returns. Empirically, I find that stock VRPs predict forex returns at a one-month horizon, both in-sample and out-of-sample. Moreover, compared to two major currency carry predictors, global VRP has more predictive power for currency carry trade returns, bilateral forex returns, and excess equity return differentials.

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