Computational Economics

, Volume 47, Issue 4, pp 527–549

Optimal Prediction Periods for New and Old Volatility Indexes in USA and German Markets


DOI: 10.1007/s10614-015-9500-0

Cite this article as:
Giner, J., Morini, S. & Rosillo, R. Comput Econ (2016) 47: 527. doi:10.1007/s10614-015-9500-0


In 1993, the Chicago Board of Options Exchange (CBOE) introduced the VXO, a volatility index based on implied volatilities on S&P 100 index. In 2003, the CBOE changed their volatility index design and introduced the VIX in order to enhance its economic significance and to facilitate hedging. In this paper, using data from the USA and the German stock markets, we compare the forecasting capability of the volatility indexes with that of historical volatility and conditional volatility models. Following this analysis, we have studied whether it may be the case that volatility indexes forecast the realized volatilities more accurately for a different period to 30 (or 45) days, attempting to answer the question: what time horizon is the informational content of volatility indexes best adjusted for? The optimal prediction period of each volatility index (VXO, VIX, VDAX and V1X) in terms of coefficient of determination is analysed. The results identify a difference between the observed optimal forecasting period and the theoretical one. This could be explained from different perspectives such as the index’s design, investor cognitive bias or overreaction.


VIX VDAX Forecasting Realized volatility  Maturity 

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Economics, Accounting and FinanceUniversity of La LagunaTenerifeSpain
  2. 2.Department of Business ManagementUniversity of LeónLeónSpain

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