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Conditional volatility forecasting in a dynamic hedging model

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  • Michael S. Haigh

    (US Commodity Futures Trading Commission and University of Maryland, USA)

Abstract

This paper addresses several questions surrounding volatility forecasting and its use in the estimation of optimal hedging ratios. Specifically: Are there economic gains by nesting time-series econometric models (GARCH) and dynamic programming models (therefore forecasting volatility several periods out) in the estimation of hedging ratios whilst accounting for volatility in the futures bid-ask spread? Are the forecasted hedging ratios (and wealth generated) from the nested bid-ask model statistically and economically different than standard approaches? Are there times when a trader following a basic model that does not forecast outperforms a trader using the nested bid-ask model? On all counts the results are encouraging-a trader that accounts for the bid-ask spread and forecasts volatility several periods in the nested model will incur lower transactions costs and gain significantly when the market suddenly and abruptly turns. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Michael S. Haigh, 2005. "Conditional volatility forecasting in a dynamic hedging model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(3), pages 155-172.
    • Handle: RePEc:jof:jforec:v:24:y:2005:i:3:p:155-172
    DOI: 10.1002/for.950
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    References listed on IDEAS

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    1. 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 109-124, April-Jun.
    2. Ronald W. Anderson & Jean-Pierre Danthine, 1983. "The Time Pattern of Hedging and the Volatility of Futures Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(2), pages 249-266.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Gagnon, Louis & Lypny, Gregory J. & McCurdy, Thomas H., 1998. "Hedging foreign currency portfolios," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 197-220, September.
    5. Granger, Clive W. J., 2001. "Macroeconometrics - Past and future," Journal of Econometrics, Elsevier, vol. 100(1), pages 17-19, January.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. 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.
    8. Kenneth H. Mathews & Duncan M. Holthausen, 1991. "A Simple Multiperiod Minimum Risk Hedge Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1020-1026.
    9. Kee‐Hong Bae & Kalok Chan & Yan‐Leung Cheung, 1998. "The profitability of index futures arbitrage: Evidence from bid‐ask quotes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(7), pages 743-763, October.
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    Cited by:

    1. Aleksander Olstad & George Filis & Stavros Degiannakis, 2021. "Oil and currency volatilities: Co‐movements and hedging opportunities," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2351-2374, April.

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