Uncertainty‐driven oil volatility risk premium and international stock market volatility forecasting
Realized variance
Variance risk premium
Variance swap
DOI:
10.1002/for.2923
Publication Date:
2022-10-17T13:31:53Z
AUTHORS (4)
ABSTRACT
Abstract Forecasting international stock market volatility using the oil risk premium (OVRP) is important for asset allocation and financial management. In previous literature, issue of biased OVRP has not been well addressed. The defined as difference between ex ante risk‐neutral expectation return variation realized variance. This a estimator argued by studies. this paper, we propose new measure OVRP, namely, uncertainty‐driven (UOVRP), in which expected conditional variance futures returns estimated typical GARCH‐MIDAS model, long‐term component directly determined several uncertainty indices. Using heterogeneous autoregressive models (HAR), find that UOVRPs significantly positively predict most in‐sample. Furthermore, it outperforms volatility, “model‐free” recently proposed predictors American, European, Pacific markets out‐of‐sample. On average, driven world index U.S. economic policy perform best among all UOVRPs. predictive ability robust across series checks.
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