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Predicting Interest Rate Volatility Using Information on the Yield Curve

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  • Hideyuki Takamizawa

Abstract

This study examines whether information on the yield curve is useful for predicting volatility of the yield curve. The information is used within dynamic models by specifying the covariance matrix of changes in yield factors as nonlinear functions of the factors. Using such models, it is found that the information (i) is useful for predicting volatility of the slope factor, achieving the accuracy comparable with the GARCH model; (ii) has incremental value for predicting volatility of the curvature factor when combined with a volatility-specific factor; and (iii) does not much improve prediction of volatility of the level factor once the volatility-specific factor is introduced.

Suggested Citation

  • Hideyuki Takamizawa, 2015. "Predicting Interest Rate Volatility Using Information on the Yield Curve," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 347-386, September.
  • Handle: RePEc:bla:irvfin:v:15:y:2015:i:3:p:347-386
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    3. Takamizawa, Hideyuki, 2022. "How arbitrage-free is the Nelson–Siegel model under stochastic volatility?," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 205-223.

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    More about this item

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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