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Forecasting Credit Spread Volatility: Evidence from the Japanese Eurobond Market

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  • Brock Johnson

    ()

  • Jonathan Batten

    ()

Abstract

Different approaches to forecasting the volatility associated with the credit spreads on Yen Eurobonds are investigated. The actual volatility, historical volatility and estimated conditional volatility on spreads derived from a regression-based model with a GARCH and ARMA specification are compared within an adaptation of Black’s (J. Finance, 31, 1976, 361–367) option-pricing model. Surprisingly, the regression forecast over a medium forecasting horizon suggests that historic volatility provides the better forecast. The implications of these results for volatility forecasting and credit spread modelling are also discussed. Copyright Springer Science + Business Media, Inc. 2003

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Bibliographic Info

Article provided by Springer in its journal Asia-Pacific Financial Markets.

Volume (Year): 10 (2003)
Issue (Month): 4 (December)
Pages: 335-357
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Handle: RePEc:kap:apfinm:v:10:y:2003:i:4:p:335-357

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For corrections or technical questions regarding this item, or to correct its listing, contact: (Guenther Eichhorn) or (Christopher F. Baum).

Related research

Keywords: credit spreads; forecasting volatility; Yen Eurobonds;

References

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  17. Jarrow, Robert A & Lando, David & Turnbull, Stuart M, 1997. "A Markov Model for the Term Structure of Credit Risk Spreads," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 10(2), pages 481-523.
  18. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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