Social and Behavioral Sciences Commons^™

Forecasting Volatility: Evidence From The German Stock Market, Hagen H. W. Bluhm, Jun Yu

Research Collection School Of Economics

In this paper we compare two basic approaches to forecast volatility in the German stock market. The first approach uses various univariate time series techniques while the second approach makes use of volatility implied in option prices. The time series models include the historical mean model, the exponentially weighted moving average (EWMA) model, four ARCH-type models and a stochastic volatility (SV) model. Based on the utilization of volatility forecasts in option pricing and Value-at-Risk (VaR), various forecast horizons and forecast error measurements are used to assess the ability of volatility forecasts. We show that the mode lrankings are sensitive to …