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The hedging effectiveness of DAX futures

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  • G. Lypny
  • M. Powalla

Abstract

Dynamic futures hedging strategies have been shown to be effective in a number of markets, but the gain in risk reduction over simple, constant hedges varies. This paper examines the hedging effectiveness of German stock index DAX futures and shows that the application of a dynamic hedging strategy based on a GARCH(1,1) covariance structure, combined with an error correction of the mean returns, yields economically significant in- and out-of-sample improvements in welfare over a simple constant hedge and over a dynamic hedge with the error correction but without the GARCH(1,1) covariance structure. A nonparametric test of the model's forecasts shows that it is able to predict both portfolio returns and investor utility significantly better than the simpler alternative models considered.

Suggested Citation

  • G. Lypny & M. Powalla, 1998. "The hedging effectiveness of DAX futures," The European Journal of Finance, Taylor & Francis Journals, vol. 4(4), pages 345-355.
  • Handle: RePEc:taf:eurjfi:v:4:y:1998:i:4:p:345-355
    DOI: 10.1080/135184798337227
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    1. Barnhart, Scott W. & Szakmary, Andrew C., 1991. "Testing the Unbiased Forward Rate Hypothesis: Evidence on Unit Roots, Co-Integration, and Stochastic Coefficients," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(2), pages 245-267, June.
    2. Baillie, Richard T. & DeGennaro, Ramon P., 1990. "Stock Returns and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(2), pages 203-214, June.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. 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.
    6. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    7. Fowler, David J. & Rorke, C. Harvey, 1983. "Risk measurement when shares are subject to infrequent trading : Comment," Journal of Financial Economics, Elsevier, vol. 12(2), pages 279-283, August.
    8. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    9. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    10. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    11. Cohen, Kalman J. & Hawawini, Gabriel A. & Maier, Steven F. & Schwartz, Robert A. & Whitcomb, David K., 1983. "Friction in the trading process and the estimation of systematic risk," Journal of Financial Economics, Elsevier, vol. 12(2), pages 263-278, August.
    12. 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 542-547, August.
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    Cited by:

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    2. Auer, Benjamin R., 2014. "Daily seasonality in crude oil returns and volatilities," Energy Economics, Elsevier, vol. 43(C), pages 82-88.
    3. Pandey, Ajay, 2008. "Hedging Effectiveness of Constant and Time Varying Hedge Ratio in Indian Stock and Commodity Futures Markets," IIMA Working Papers WP2008-06-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    4. Pok, Wee Ching & Poshakwale, Sunil S. & Ford, J.L., 2009. "Stock index futures hedging in the emerging Malaysian market," Global Finance Journal, Elsevier, vol. 20(3), pages 273-288.
    5. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    6. Chang, Chiao-Yi & Lai, Jing-Yi & Chuang, I-Yuan, 2010. "Futures hedging effectiveness under the segmentation of bear/bull energy markets," Energy Economics, Elsevier, vol. 32(2), pages 442-449, March.
    7. Afees A. Salisu & Kingsley Obiora, 2021. "COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    8. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2019. "What is a better cross-hedge for energy: Equities or other commodities?," Global Finance Journal, Elsevier, vol. 42(C).
    9. Shashi Gupta & Himanshu Choudhary & D.R. Agarwal, 2017. "Hedging Efficiency of Indian Commodity Futures," Paradigm, , vol. 21(1), pages 1-20, June.
    10. Atreya Chakraborty & John Barkoulas, 1999. "Dynamic futures hedging in currency markets," The European Journal of Finance, Taylor & Francis Journals, vol. 5(4), pages 299-314.
    11. Mandeep Kaur & Kapil Gupta, 2019. "Estimating Hedging Effectiveness Using Variance Reduction And Risk-Return Approaches: Evidence From National Stock Exchange Of India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 8(4), pages 149-169.
    12. Yudong Wang & Chongfeng Wu & Li Yang, 2015. "Hedging with Futures: Does Anything Beat the Naïve Hedging Strategy?," Management Science, INFORMS, vol. 61(12), pages 2870-2889, December.
    13. Dar-Hsin Chen & Leo Bin & Chun-Yi Tseng, 2014. "Hedging Effectiveness of Applying Constant and Time-Varying Hedge Ratios: Evidence from Taiwan Stock Index Spot and Futures," Journal of Risk & Control, Risk Market Journals, vol. 1(1), pages 31-49.
    14. Abdulsalam Abidemi Sikiru & Afees A. Salisu, 2023. "Hedging against risks associated with travel and tourism stocks during COVID‐19 pandemic: The role of gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1872-1882, April.

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