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Predicting Interest Rate Volatility Using Information on the Yield Curve

Hideyuki Takamizawa

International Review of Finance, 2015, vol. 15, issue 3, 347-386

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.

Date: 2015
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Citations: View citations in EconPapers (3)

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Working Paper: Predicting Interest Rate Volatility: Using Information on the Yield Curve (2015) Downloads
Working Paper: Predicting Interest Rate Volatility: Using Information on the Yield Curve (2012) Downloads
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International Review of Finance is currently edited by Bruce D. Grundy, Naifu Chen, Ming Huang, Takao Kobayashi and Sheridan Titman

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