Time-Varying Hedge Ratios: An Application to the Indian Stock Futures Market
Using different unconditional and conditional versions of the bivariate BEKK-GARCH model of Engle and Kroner, we calculate time-varying hedge ratios for Indian stock futures market involving a cross-section of seven firms across a spectrum of industries. These models are solved not only with the usual square root exponent but also analysed with an unrestricted version where the exponent is set to one. Our results show time-varying hedge ratios with the exponent set to one improve over hedge ratios obtained from the square root exponent setup as well as over static hedge ratios calculated from the error correction types of models. Time-varying optimal hedge ratio calculation in this new framework makes perfect sense in terms of portfolio allocation decision involving individual stock futures.
|Date of creation:||20 Aug 2006|
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- Yeh, Sally C & Gannon, Gerard L, 2000. " Comparing Trading Performance of the Constant and Dynamic Hedge Models: A Note," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 155-60, March.
- Tim Bollerslev, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
EERI Research Paper Series
EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- GianCarlo Moschini & Robert J. Myers, 2001.
"Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate GARCH Approach,"
Center for Agricultural and Rural Development (CARD) Publications
01-wp268, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Moschini, GianCarlo & Myers, Robert J., 2002. "Testing for constant hedge ratios in commodity markets: a multivariate GARCH approach," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 589-603, December.
- Moschini, GianCarlo & Myers, Robert J., 2002. "Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate Garch Approach," Staff General Research Papers 1945, Iowa State University, Department of Economics.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
- Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, EconWPA.
- Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-24, April-Jun.
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