JOURNAL ARTICLE

Least Squares Estimators for Discretely Observed Vasicek Interest Rate Model with Small α Stable Noises

成念 范

Year: 2017 Journal:   Statistics and Applications Vol: 06 (05)Pages: 539-549

Abstract

本文研究[0,1]区间中离散时间ti=(i/n,i=1,L,n) 观测的α-稳定Levy噪声驱动的Vasicek利率模型的参数估计问题。 dXt=(a-bXt)dt+δdZt 采用最小二乘法得到了a和b的估计量。在δ→0和δ→∞ 同时成立的条件下,完成了最小二乘估计量的相合性和渐近性的证明。 In this paper, we consider the problem of parameter estimation for Vasicek interest rate model with small α-stable noises, observed at n regularly spaced time points ti=(i/n,i=1,L,n) on [0,1] dXt=(a-bXt)dt+δdZt Least squares method is used to obtain a and b. The consistencies and asymptotic distributions of the LSE are established when δ→0 and δ→∞ simultaneously.

Keywords:
Vasicek model Estimator Mathematics Least-squares function approximation Applied mathematics Statistics Econometrics Interest rate Economics

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Stochastic processes and financial applications
Social Sciences →  Economics, Econometrics and Finance →  Finance
Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance

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