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Hedging performance of REIT index futures: A comparison of alternative hedge ratio estimation methods

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  • Zhou, Jian

Abstract

Futures contracts based on REIT market indices remain an under-researched topic, given their short history. This paper extends the literature by examining what hedge-ratio estimation method yields the most effective hedging performance of REIT futures. We include a wide range of commonly used methods and apply them to all four global markets which have developed REIT index futures (i.e., Australia, Europe, Japan & the U.S.). By adopting an out-of-sample analytical framework, our results show that there exist multiple methods in each market that can be considered best performers and the mix of best performers varies across markets. Furthermore, our results suggest that constant hedge-ratio methods are not necessarily inferior to their time-varying counterparts, and that a more complicated GARCH model does not necessarily lead to better performance than a more parsimonious one. Finally, only DCC and BEKK are found to rank consistently among the best performers across all four markets when we examine collectively the results using different out-of-sample periods. However, this does not mean that hedgers will always want to use them.

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  • Zhou, Jian, 2016. "Hedging performance of REIT index futures: A comparison of alternative hedge ratio estimation methods," Economic Modelling, Elsevier, vol. 52(PB), pages 690-698.
  • Handle: RePEc:eee:ecmode:v:52:y:2016:i:pb:p:690-698
    DOI: 10.1016/j.econmod.2015.10.009
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    as
    1. Shi, Jing & Xu, Tracy, 2013. "Price and volatility dynamics between securitized real estate spot and futures markets," Economic Modelling, Elsevier, vol. 35(C), pages 582-592.
    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. Hansen, Peter Reinhard, 2005. "A Test for Superior Predictive Ability," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 365-380, October.
    4. 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.
    5. Hsiang‐Tai Lee & Jonathan K. Yoder & Ron C. Mittelhammer & Jill J. McCluskey, 2006. "A random coefficient autoregressive Markov regime switching model for dynamic futures hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(2), pages 103-129, February.
    6. Asim Ghosh, 1993. "Cointegration and error correction models: Intertemporal causality between index and futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(2), pages 193-198, April.
    7. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    8. Peter R. Hansen & Asger Lunde & James M. Nason, 2011. "The Model Confidence Set," Econometrica, Econometric Society, vol. 79(2), pages 453-497, March.
    9. Tae H. Park & Lorne N. Switzer, 1995. "Bivariate GARCH estimation of the optimal hedge ratios for stock index futures: A note," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(1), pages 61-67, February.
    10. 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.
    11. Paresh Kumar Narayan & Stephan Popp, 2010. "A new unit root test with two structural breaks in level and slope at unknown time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1425-1438.
    12. Norman R. Swanson & Halbert White, 1997. "A Model Selection Approach To Real-Time Macroeconomic Forecasting Using Linear Models And Artificial Neural Networks," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 540-550, November.
    13. 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.
    14. 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.
    15. Chen, Sheng-Syan & Lee, Cheng-few & Shrestha, Keshab, 2003. "Futures hedge ratios: a review," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 433-465.
    16. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    17. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
    18. Gregory, Allan W & Hansen, Bruce E, 1996. "Tests for Cointegration in Models with Regime and Trend Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 555-560, August.
    19. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    20. 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.
    21. Alizadeh, Amir H. & Nomikos, Nikos K. & Pouliasis, Panos K., 2008. "A Markov regime switching approach for hedging energy commodities," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1970-1983, September.
    22. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    23. Seow Eng Ong & Kah Hwa Ng, 2009. "Developing the real estate derivative market for Singapore: issues and challenges," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 27(4), pages 425-432, July.
    24. Lien, Donald & Tse, Y K, 2002. "Some Recent Developments in Futures Hedging," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 357-396, July.
    25. Chih‐Chiang Hsu & Chih‐Ping Tseng & Yaw‐Huei Wang, 2008. "Dynamic hedging with futures: A copula‐based GARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(11), pages 1095-1116, November.
    26. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    27. Paresh Kumar Narayan & Stephan Popp, 2013. "Size and power properties of structural break unit root tests," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 721-728, February.
    28. Figlewski, Stephen, 1984. "Hedging Performance and Basis Risk in Stock Index Futures," Journal of Finance, American Finance Association, vol. 39(3), pages 657-669, July.
    29. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
    30. Chyi Lee & Simon Stevenson & Ming-Long Lee, 2014. "Futures Trading, Spot Price Volatility and Market Efficiency: Evidence from European Real Estate Securities Futures," The Journal of Real Estate Finance and Economics, Springer, vol. 48(2), pages 299-322, February.
    31. Bos, T & Newbold, P, 1984. "An Empirical Investigation of the Possibility of Stochastic Systematic Risk in the Market Model," The Journal of Business, University of Chicago Press, vol. 57(1), pages 35-41, January.
    32. Kavussanos, Manolis G. & Nomikos, Nikos K., 2000. "Constant vs. time-varying hedge ratios and hedging efficiency in the BIFFEX market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(4), pages 229-248, December.
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