Forecasting stock market volatility with macroeconomic variables in real time
We compare forecasts of stock market volatility based on real-time and revised macroeconomic data. To this end, we use a new dataset on monthly real-time macroeconomic variables for Germany. The dataset covers the period 1994–2005. We use statistical criteria, a utility-based criterion, and an optio...
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Veröffentlicht in: | Journal of economics and business 2008-05, Vol.60 (3), p.256-276 |
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creator | Pierdzioch, Christian Döpke, Jörg Hartmann, Daniel |
description | We compare forecasts of stock market volatility based on real-time and revised macroeconomic data. To this end, we use a new dataset on monthly real-time macroeconomic variables for Germany. The dataset covers the period 1994–2005. We use statistical criteria, a utility-based criterion, and an options-based criterion to evaluate volatility forecasts. Our main result is that the statistical and economic value of volatility forecasts based on real-time macroeconomic data is comparable to the value of forecasts based on revised macroeconomic data. |
doi_str_mv | 10.1016/j.jeconbus.2007.03.001 |
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subjects | Comparative analysis Evaluation of forecasting accuracy Forecasting stock market volatility Forecasting techniques Macroeconomics Real-time macroeconomic data Securities markets Studies Volatility |
title | Forecasting stock market volatility with macroeconomic variables in real time |
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