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Hedging effectiveness of the Athens stock index futures contracts

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  • Manolis Kavussanos
  • Ilias Visvikis

Abstract

This paper examines the hedging effectiveness of the FTSE/ATHEX-20 and FTSE/ATHEX Mid-40 stock index futures contracts in the relatively new and fairly unresearched futures market of Greece. Both in-sample and out-of-sample hedging performances using weekly and daily data are examined, considering both constant and time-varying hedge ratios. Results indicate that time-varying hedging strategies provide incremental risk-reduction benefits in-sample, but under-perform simple constant hedging strategies out-of-sample. Moreover, futures contracts serve effectively their risk management role and compare favourably with results in other international stock index futures markets. Estimation of investor utility functions and corresponding optimal utility maximising hedge ratios yields similar results, in terms of model selection. For the FTSE/ATHEX Mid-40 contracts we identify the existence of speculative components, which lead to utility-maximising hedge ratios, that are different to the minimum variance hedge ratio solutions.

Suggested Citation

  • Manolis Kavussanos & Ilias Visvikis, 2008. "Hedging effectiveness of the Athens stock index futures contracts," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 243-270.
    • Handle: RePEc:taf:eurjfi:v:14:y:2008:i:3:p:243-270
    DOI: 10.1080/13518470801890701
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    1. Sergio H. Lence, 1995. "The Economic Value of Minimum-Variance Hedges," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 353-364.
    2. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Lafuente, Juan A. & Novales, Alfonso, 2003. "Optimal hedging under departures from the cost-of-carry valuation: Evidence from the Spanish stock index futures market," Journal of Banking & Finance, Elsevier, vol. 27(6), pages 1053-1078, June.
    5. Christos Floros & Dimitrios Vougas, 2004. "Hedge ratios in Greek stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 14(15), pages 1125-1136.
    6. Donald Lien & Y. K. Tse & Albert Tsui, 2002. "Evaluating the hedging performance of the constant-correlation GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 791-798.
    7. 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.
    8. Christian L Dunis & Jia Miao, 2005. "Optimal trading frequency for active asset management: Evidence from technical trading rules," Journal of Asset Management, Palgrave Macmillan, vol. 5(5), pages 305-326, February.
    9. Tashman, Leonard J., 2000. "Out-of-sample tests of forecasting accuracy: an analysis and review," International Journal of Forecasting, Elsevier, vol. 16(4), pages 437-450.
    10. Lee, Tae-Hwy, 1994. "Spread and volatility in spot and forward exchange rates," Journal of International Money and Finance, Elsevier, vol. 13(3), pages 375-383, June.
    11. Chou, Ray Yeutien, 1988. "Volatility Persistence and Stock Valuations: Some Empirical Evidence Using Garch," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(4), pages 279-294, October-D.
    12. 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.
    13. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    14. Sudhakar S. Raju, 2005. "Risk Return Trade-offs from Hedging Oil Price Risk in Ecuador," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 4(1), pages 27-41, April.
    15. Hsiang‐Tai Lee & Jonathan Yoder, 2007. "Optimal hedging with a regime‐switching time‐varying correlation GARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(5), pages 495-516, May.
    16. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    17. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    18. 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 1749-1778, December.
    19. 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.
    20. John M. Geppert, 1995. "A statistical model for the relationship between futures contract hedging effectiveness and investment horizon length," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(5), pages 507-536, August.
    21. Donald Lien & Y. K. Tse, 2002. "Some Recent Developments in Futures Hedging," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 357-396, July.
    22. Asim Ghosh, 1993. "Hedging with stock index futures: Estimation and forecasting with error correction model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 743-752, October.
    23. repec:bla:jecsur:v:16:y:2002:i:3:p:357-96 is not listed on IDEAS
    24. 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.
    25. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    26. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    27. Kroll, Yoram & Levy, Haim & Markowitz, Harry M, 1984. "Mean-Variance versus Direct Utility Maximization," Journal of Finance, American Finance Association, vol. 39(1), pages 47-61, March.
    28. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    29. G. Mujtaba Mian & Christopher Adam, 2001. "Volatility dynamics in high frequency financial data: an empirical investigation of the Australian equity returns," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 341-352.
    30. 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.
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    Cited by:

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    3. Manolis G. Kavussanos & Ilias D. Visvikis, 2011. "The Predictability of Non-Overlapping Forecasts: Evidence from a New Market," Multinational Finance Journal, Multinational Finance Journal, vol. 15(1-2), pages 125-156, March - J.
    4. Yu‐Sheng Lai, 2019. "Flexible covariance dynamics, high‐frequency data, and optimal futures hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1529-1548, December.
    5. 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.
    6. Alexandridis, George & Sahoo, Satya & Song, Dong-Wook & Visvikis, Ilias, 2018. "Shipping risk management practice revisited: A new portfolio approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 274-290.
    7. Yu‐Sheng Lai, 2023. "Optimal futures hedging by using realized semicovariances: The information contained in signed high‐frequency returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(5), pages 677-701, May.
    8. Yan Hu & Jian Ni, 2024. "A deep learning‐based financial hedging approach for the effective management of commodity risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 879-900, June.

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