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The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach
171
Citations
27
References
2017
Year
Volatility ModelingEngineeringGold FuturesCommodity MarketGarch‐midas ApproachTime Series EconometricsEconomic ForecastingInternational FinanceAsset PricingForecasting AbilityStatisticsEconomicsGarch ModelsGarch‐midas ModelForecastingFinanceFinancial EconomicsBusinessEconometricsInternational RiskFinancial ForecastHigh-frequency Financial Econometrics
This paper applies the GARCH‐MIDAS model to examine whether information contained in global economic policy uncertainty (GEPU) can help to predict short‐ and long‐term components of the gold futures return variance. Our results show that GEPU positively and significantly forecasts the future monthly volatilities for the aggregate global gold futures market. The forecasting power of GEPU remains strong in an out‐of‐sample setting. Moreover, further out‐of‐sample tests show that the GARCH‐MIDAS model with GEPU and realized volatility outperforms all other specifications, indicating that including low‐frequency GEPU information in the GARCH‐MIDAS model significantly enhances the forecasting ability of the model.
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