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Clements, A. E., & Fuller, J. (2012). Forecasting Increases in the VIX: A Time-Varying Long Volatility Hedge for Equities (NCER Working Paper Series No. 88). Brisbane: Queensland University of Technology.

has been cited by the following article:

• TITLE: Empirical Analysis of VDAX and VSTOXX as Major Volatility Indices in the EU Including Forecasting Tools

  AUTHORS: Ernst J. Fahling, Elmar Steurer, Manuel Ulbig, Burkhard Bamberger

  KEYWORDS: One Year VDAX, VSTOXX Forecasting, ARMA- & GARCH- & ARX-Testing Model, Profitable Trading Strategy

  JOURNAL NAME: Journal of Financial Risk Management, Vol.8 No.4, December 31, 2019

  ABSTRACT: This study reviews various time series forecasting models in order to find the best fit for the VDAX and VSTOXX for one month and one year. Additionally, the influence of the trading volume of the DAX is examined. Both durations are found to be stationary by the Phillips-Perron test, that is why non-integrated models are used. For a duration of one month, a GARCHX(1,1) model is the best fit in-sample as well as out-of-sample, while the best fit for a duration of one year is found to be a ARX(1) model. Based on the forecasts, two trading strategies are tested for each duration, which is a long only strategy and a combination of long and short trades. The performance of both strategies is compared with a simple buy and hold strategy on each VDAX and VSTOXX. It is found that an excess return over the buy and hold strategy can be generated for both durations even with transaction costs.