Volatility transmission across the term structure of swap markets: international evidence
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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Volume (Year): 14 (2004)
Issue (Month): 14 ()
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- Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
- Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Ghysels,Eric & Osborn,Denise R., 2001.
"The Econometric Analysis of Seasonal Time Series,"
Cambridge University Press, number 9780521562607, June.
- Newey, Whitney K & West, Kenneth D, 1987.
"A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix,"
Econometric Society, vol. 55(3), pages 703-08, May.
- Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
- Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
- Robert F. Engle & Victor K. Ng, 1991.
"Measuring and Testing the Impact of News on Volatility,"
NBER Working Papers
3681, National Bureau of Economic Research, Inc.
- 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.
- Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
- 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.
- 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.
- Baillie, Richard T & Bollerslev, Tim, 2002. "The Message in Daily Exchange Rates: A Conditional-Variance Tale," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 60-68, January.
- Juan Ayuso & Andrew Haldane & Fernando Restoy, 1997. "Volatility transmission along the money market yield curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 133(1), pages 56-75, March.
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