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Dynamic Hedging inMarkov Regimes Switching

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  • Wagner Oliveira Monteiro
  • Rodrigo De Losso da Silveira Bueno

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File URL: http://www.anpec.org.br/encontro2009/inscricao.on/arquivos/000-68e84d8762a40d8a8da76cd664a16b9d.pdf
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Paper provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its series Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] with number 136.

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Date of creation: 2011
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Handle: RePEc:anp:en2009:136
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  1. Kim, C-J., 1991. "Dynamic Linear Models with Markov-Switching," Papers 91-8, York (Canada) - Department of Economics.
  2. Pelletier, Denis, 2006. "Regime switching for dynamic correlations," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 445-473.
  3. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-34, April.
  4. John Cotter & Jim Hanly, 2011. "Re-evaluating Hedging Performance," Working Papers 200518, Geary Institute, University College Dublin.
  5. Sarno, Lucio & Giorgio Valente, 2002. "Modelling and Forecasting Stock Returns: Exploiting the Futures Market, Regime Shifts and International Spillovers," Royal Economic Society Annual Conference 2002 160, Royal Economic Society.
  6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
  7. Hsiang-Tai Lee & Jonathan Yoder, 2007. "A bivariate Markov regime switching GARCH approach to estimate time varying minimum variance hedge ratios," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1253-1265.
  8. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
  9. Li, W K & Ling, Shiqing & McAleer, Michael, 2002. " Recent Theoretical Results for Time Series Models with GARCH Errors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 245-69, July.
  10. John K. M. Kuwornu & W. Erno Kuiper & Joost M. E. Pennings & Matthew T. G. Meulenberg, 2005. "Time-varying Hedge Ratios: A Principal-agent Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(3), pages 417-432.
  11. Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, EconWPA.
  12. Yeh, Sally C & Gannon, Gerard L, 2000. "Comparing Trading Performance of the Constant and Dynamic Hedge Models: A Note," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 155-60, March.
  13. John Heaney & Geoffrey Poitras, 1991. "Estimation of the optimal hedge ratio, expected utility, and ordinary least squares regression," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(5), pages 603-612, October.
  14. Rydén, Tobias & Teräsvirta, Timo & Åsbrink, Stefan, 1996. "Stylized Facts of Daily Return Series and the Hidden Markov Model," SSE/EFI Working Paper Series in Economics and Finance 117, Stockholm School of Economics.
  15. Chris Brooks & Olan T. Henry & Gita Persand, 2002. "The Effect of Asymmetries on Optimal Hedge Ratios," The Journal of Business, University of Chicago Press, vol. 75(2), pages 333-352, April.
  16. 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, 02.
  17. 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.
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