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Ornstein-Uhlenbeck过程的参数估计
Ornstein-Uhlenbeck
Monte Carlo
Euler
Ornstein-Uhlenbeck
Ornstein-Uhlenbeck Euler
Ornstein-Uhlenbeck
Ornstein-Uhlenbeck Monte
Carlo
Ornstein-Uhlenbeck ℄ Euler
℄ Monte Carlo
I
Abstract
Ornstein-Uhlenbeck process is one kind of diffusion processes,which is widely
used in physics and finance. In this paper,I estimate the parameter of it based on
the theory of estimating functions via parameter transformation,using a simple and
explicit estimating function to estimate one part of the parameter first,and then
using the optimal quadratic martingale estimating function for the remaining part
of the parameter. Comparing with the maximum likelihood estimator, the new
estimator obtaining from this method not only has simple form and need not much
computation,but also has good asymptotic properties. In the end,I compare this es-
timator with estimators obtained by maximum likelihood and Euler approximation
method via Monte Carlo numerical simulation.
The paper is of four parts.Chapter one is the introduction.Section one of Chap-
ter two introduces the mathematical model of Ornstein-Uhlenbeck process,and
explains the physical meaning of the process as well as its parameters.Section
two recalls some related basic knowledge and displays some definitions ,suppo-
sitions and theories involved in the paper.Chaper three is the main body of the
paper.Section one describes the estimator of the process ob
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