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Volatility transmission across the term structure of swap markets: international evidence

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Author Info
Pilar Abad
Alfonso Novales

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Abstract

The behaviour of volatility across the term structure of interest rate swaps is characterized in three currencies (Deutsche mark, Japanese yen and US dollar). For that purpose, a modified GARCH-in mean model is used allowing for seasonal patterns in the mean and variance of interest rates and asymmetric responses to interest rate surprises. Daily interest rate changes are found (a) to be predictable, following autoregressive structures, and (b) to display weekly seasonality. Additionally, interest rate volatility is shown to (a) decrease with maturity, (b) be very persistent and hence, somewhat predictable, which is important when pricing derivatives on swap products, (c) show a tendency to be lower at the beginning of the week, increasing later on, and (d) to respond asymmetrically to interest rate innovations. These properties could clearly be used in risk management with interest rate swaps. Finally, significant transmission of volatility is found from the very short-term to longer-term interest rates. This evidence supports the importance attributed by most central banks to achieving stability in short-term interest rates.

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Article provided by Taylor and Francis Journals in its journal Applied Financial Economics.

Volume (Year): 14 (2004)
Issue (Month): 14 (October)
Pages: 1045-1058
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Handle: RePEc:taf:apfiec:v:14:y:2004:i:14:p:1045-1058

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Baillie, Richard T & Bollerslev, Tim, 1989. "The Message in Daily Exchange Rates: A Conditional-Variance Tale," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 297-305, July.
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  2. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May. [Downloadable!] (restricted)
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  3. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-78, December. [Downloadable!] (restricted)
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  4. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September. [Downloadable!] (restricted)
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  1. Silvio Colarossi & Andrea Zaghini, 2007. "Gradualism, Transparency and Improved Operational Framework: A Look at the Overnight Volatility Transmission," CFS Working Paper Series 2007/16, Center for Financial Studies. [Downloadable!]
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