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Hedging Effectiveness on the Thailand Futures Exchange Market

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  • Lerskullawat, Polwat

Abstract

This study examines hedge strategies through derivative instruments in an emerging market, with evidence from Thailand during the period 2011 to 2018. Focusing on a series of futures contracts on the Thailand Futures Exchange market (TFEX), namely SET50 futures, gold futures and interest rate futures, the study methods employed in both static and time-varying models: OLS, VECM, time-varying OLS, EGARCH, BEKK and DCC. In general, the results show that SET50 futures display the best hedge ratio and hedge effectiveness in Thailand, followed by gold futures and interest rate futures. Therefore, investors in Thailand will benefit from investing in SET50 futures only if their business or hedge assets relate to the composite index, particularly the SET50 index. Otherwise, the other types of derivatives or financial instruments may need to be considered more carefully for investment strategies. However, the hedge effectiveness of gold futures appears to be sensitive when the time-varying models are applied differently. Furthermore, these results are consistent with the previous literature and shed more light on the study of derivative products in Thailand.

Suggested Citation

  • Lerskullawat, Polwat, 2019. "Hedging Effectiveness on the Thailand Futures Exchange Market," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
    • Handle: RePEc:ags:thkase:338425
    DOI: 10.22004/ag.econ.338425
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    1. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    2. John Cotter & Jim Hanly, 2012. "Hedging effectiveness under conditions of asymmetry," The European Journal of Finance, Taylor & Francis Journals, vol. 18(2), pages 135-147, February.
    3. Massimiliano Caporin & Michael McAleer, 2012. "Do We Really Need Both Bekk And Dcc? A Tale Of Two Multivariate Garch Models," Journal of Economic Surveys, Wiley Blackwell, vol. 26(4), pages 736-751, September.
    4. Maria CARACOTA DIMITRIU & Ioana – Diana PAUN, 2012. "Short Term Hedging Using Futures Contracts," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(2), pages 436-445, December.
    5. Julien Chevallier, 2012. "Time-varying correlations in oil, gas and CO 2 prices: an application using BEKK, CCC and DCC-MGARCH models," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4257-4274, November.
    6. Saumitra Bhaduri & S. Raja Sethu Durai, 2008. "Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 1(1), pages 121-134.
    7. Laws, Jason & Thompson, John, 2005. "Hedging effectiveness of stock index futures," European Journal of Operational Research, Elsevier, vol. 163(1), pages 177-191, May.
    8. repec:dau:papers:123456789/6790 is not listed on IDEAS
    9. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    10. 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.
    11. Acatrinei, Marius & Gorun, Adrian & Marcu, Nicu, 2013. "A DCC-GARCH Model To Estimate the Risk to the Capital Market in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 136-148, March.
    12. 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.
    13. Basher, Syed Abul & Sadorsky, Perry, 2016. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," Energy Economics, Elsevier, vol. 54(C), pages 235-247.
    14. Chyi Lin Lee & Ming‐Long Lee, 2012. "Hedging effectiveness of REIT futures," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 30(3), pages 257-281, April.
    15. Chyi Lin Lee & Ming‐Long Lee, 2012. "Hedging effectiveness of REIT futures," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 30(3), pages 257-281, April.
    16. Wenling Yang & David E. Allen, 2005. "Multivariate GARCH hedge ratios and hedging effectiveness in Australian futures markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(2), pages 301-321, July.
    17. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    18. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    19. Mr. Ashoka Mody, 2004. "What is An Emerging Market?," IMF Working Papers 2004/177, International Monetary Fund.
    20. Nopphon Tangjitprom, 2010. "Preholiday returns and volatility in the Thai stock market," Asian Journal of Finance & Accounting, Macrothink Institute, vol. 2(2), pages 4154-4154, December.
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