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Forecasting swap rate volatility with information from swaptions

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  • Xiaoxi Liu
  • Jinming Xie

Abstract

We examine the predictability of the model‐free implied volatility from swaptions on future realized volatility of the underlying swap rates. The model‐free implied volatility demonstrates significant predictability on future realized volatility of swap rates along a wide cross‐section of tenors. The predictive power of the model‐free implied volatility is superior to the predictability of lagged realized volatility and generalized autoregressive conditional heteroskedasticity‐type conditional volatility. The superior predictive power of the model‐free implied volatility also holds out‐of sample, in different market states and with longer forecasting horizons.

Suggested Citation

  • Xiaoxi Liu & Jinming Xie, 2023. "Forecasting swap rate volatility with information from swaptions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 455-479, April.
  • Handle: RePEc:wly:jfutmk:v:43:y:2023:i:4:p:455-479
    DOI: 10.1002/fut.22395
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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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