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Parametric Estimation and the CIR Model

  • Saavedra, Eugenio [1]
    1. [1] Universidad de Santiago.
  • Localización: Proyecciones: Journal of Mathematics, ISSN 0716-0917, ISSN-e 0717-6279, Vol. 35, Nº. 2, 2016, págs. 197-211
  • Idioma: inglés
  • DOI: 10.4067/S0716-09172016000200005
  • Enlaces
  • Resumen
    • We study parametric estimation in the Cox-Ingersoll-Ross model and establish the stochastic differential equations for the parameters involved in it.

  • Referencias bibliográficas
    • Citas [1] Brown, R. H., Schaefer, S. M., The Term Structure of Real Interest Rates and the Cox, Ingersoll and Ross Model, J. of Financial...
    • [2] Cox, J. S., Ingersoll, J. E., Ross, S. A., A theory of term structure of interest rates, Econometrica. 53, pp. 363—384, (1985).
    • [3] Feigin, P., Maximum likelihood estimation for continuous-time stochastic processes, J. Appl. Probab. 8, pp. 712—736, (1976).
    • [4] Heyde, C., Quasi—Likelihood and its Aplications, Springer, New York, (1997).
    • [5] Kloeden, P., Platen, E., Numerical Solution of Stochastic Differential Equations, Second Edition, Springer, Berlin, (1995).
    • [6] Kloeden, P., Platen, E., Shurz, H., Sorensen, M., On effects of discretization on estimators of drift parameters for diffusion processes,...
    • [7] Protter, P., Stochastic Integration and Differential Equations, Springer, New York, (1990).

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