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Volatility Forecasts, Trading Volume, And The Arch Versus Option-Implied Volatility Trade-Off

  • R. Glen Donaldson
  • Mark J. Kamstra

We investigate empirically the role of trading volume (1) in predicting the relative informativeness of volatility forecasts produced by autoregressive conditional heteroskedasticity (ARCH) models versus the volatility forecasts derived from option prices, and (2) in improving volatility forecasts produced by ARCH and option models and combinations of models. Daily and monthly data are explored. We find that if trading volume was low during period "t" - 1 relative to the recent past, ARCH is at least as important as options for forecasting future stock market volatility. Conversely, if volume was high during period "t" - 1 relative to the recent past, option-implied volatility is much more important than ARCH for forecasting future volatility. Considering relative trading volume as a proxy for changes in the set of information available to investors, our findings reveal an important switching role for trading volume between a volatility forecast that reflects relatively stale information (the historical ARCH estimate) and the option-implied forward-looking estimate. 2005 The Southern Finance Association and the Southwestern Finance Association.

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Article provided by Southern Finance Association & Southwestern Finance Association in its journal Journal of Financial Research.

Volume (Year): 28 (2005)
Issue (Month): 4 ()
Pages: 519-538

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Handle: RePEc:bla:jfnres:v:28:y:2005:i:4:p:519-538
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  1. Hua He & Jiang Wang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," NBER Working Papers 5010, National Bureau of Economic Research, Inc.
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