The Multifactor Nature of the Volatility of Futures Markets
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DOI: 10.1007/s10614-006-9023-9
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Cited by:
- Giuliano De Rossi, 2010. "Maximum Likelihood Estimation of the Cox–Ingersoll–Ross Model Using Particle Filters," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 1-16, June.
- Chiarella, Carl & Hung, Hing & T, Thuy-Duong, 2009.
"The volatility structure of the fixed income market under the HJM framework: A nonlinear filtering approach,"
Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2075-2088, April.
- Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
- Giuliano De Rossi, 2004. "Maximum likelihood estimation of the Cox-Ingersoll-Ross model using particle filters," Computing in Economics and Finance 2004 302, Society for Computational Economics.
- Alex Huang, 2011. "Volatility Modeling by Asymmetrical Quadratic Effect with Diminishing Marginal Impact," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 301-330, March.
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Keywords
term structure; volatility; mutlifactor; jump; Eurodollar futures; futures markets; genetic algorithm;All these keywords.
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