Degiannakis, Stavros and Filis, George (2019): Forecasting European Economic Policy Uncertainty. Published in: Scottish Journal of Political Economy , Vol. 1, No. 66 (February 2019): pp. 94-114.
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Abstract
Forecasting the economic policy uncertainty in Europe is of paramount importance given the on-going sovereign debt crisis. This paper evaluates monthly economic policy uncertainty index forecasts and examines whether ultra-high frequency information from asset market volatilities and global economic uncertainty can improve the forecasts relatively to the no-change forecast. The results show that the global economic policy uncertainty provides the highest predictive gains, followed by the European and US stock market realized volatilities. In addition, the European stock market implied volatility index is shown to be an important predictor of the economic policy uncertainty.
Item Type: | MPRA Paper |
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Original Title: | Forecasting European Economic Policy Uncertainty |
Language: | English |
Keywords: | Economic policy uncertainty, forecasting, financial markets, commodities markets, HAR, ultra-high frequency information |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E60 - General E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E66 - General Outlook and Conditions G - Financial Economics > G1 - General Financial Markets > G10 - General |
Item ID: | 96268 |
Depositing User: | Dr. Stavros Degiannakis |
Date Deposited: | 08 Oct 2019 09:41 |
Last Modified: | 08 Oct 2019 09:41 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/96268 |