Mathematics – Statistics Theory
Scientific paper
2003-05-19
International Journal of Pure and Applied Mathematics, 7, No. 4 (2003), 449-486. MR1994830 (2004c:62175)
Mathematics
Statistics Theory
31 pages, http://math.ucr.edu/~jlondono
Scientific paper
This paper introduces a family of recursively defined estimators of the parameters of a diffusion process. We use ideas of stochastic algorithms for the construction of the estimators. Asymptotic consistency of these estimators and asymptotic normality of an appropriate normalization are proved. The results are applied to two examples from the financial literature; viz., Cox-Ingersoll-Ross' model and the constant elasticity of variance (CEV) process illustrate the use of the technique proposed herein.
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