4.5 Article

Is implied volatility more informative for forecasting realized volatility: An international perspective

Journal

JOURNAL OF FORECASTING
Volume 39, Issue 8, Pages 1253-1276

Publisher

WILEY
DOI: 10.1002/for.2686

Keywords

Asset allocation; Augmented HAR Model; Implied volatility; International stock markets; Realized volatility

Funding

  1. Fundamental Research Funds for the Central Universities [30919013232]
  2. National Natural Science Foundation of China [71371157, 71671145]
  3. Science and technology innovation team of Yunnan provincial universities [2019014]
  4. Yunnan Fundamental Research Projects [202020]

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Inspired by the commonly held view that international stock market volatility is equivalent to cross-market information flow, we propose various ways of constructing two types of information flow, based on realized volatility (RV) and implied volatility (IV), in multiple international markets. We focus on the RVs derived from the intraday prices of eight international stock markets and use a heterogeneous autoregressive framework to forecast the future volatility of each market for 1 day to 22 days ahead. Our Diebold-Mariano tests provide strong evidence that information flow with IV enhances the accuracy of forecasting international RVs over all of the prediction horizons. The results of a model confidence set test show that a market's own IV and the first principal component of the international IVs exhibit the strongest predictive ability. In addition, the use of information flows with IV can further increase economic returns. Our results are supported by the findings of a wide range of robustness checks.

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