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Dynamic Hedging inMarkov Regimes Switching

  • 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. Denis Pelletier, 2004. "Regime Switching for Dynamic Correlations," Econometric Society 2004 North American Summer Meetings 230, Econometric Society.
  2. 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.
  3. 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.
  4. Tobias Rydén & Timo Teräsvirta & Stefan Åsbrink, 1998. "Stylized facts of daily return series and the hidden Markov model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 217-244.
  5. John Cotter & Jim Hanly, 2011. "Re-evaluating Hedging Performance," Working Papers 200518, Geary Institute, University College Dublin.
  6. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  7. 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.
  8. BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen VK, . "Multivariate GARCH models: a survey," CORE Discussion Papers RP -1847, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. 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.
  10. 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.
  11. Giorgio Valente & Lucio Sarno, 2004. "Modeling and Forecasting Stock Returns: Exploiting the Futures Market, Regime Shifts and International Spillovers," Working Papers wp04-11, Warwick Business School, Finance Group.
  12. 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.
  13. 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.
  14. 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.
  15. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
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