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Conditional estimation of diffusion processes
DOI:10.1016/j.jfineco.2004.03.001.png)
摘要
En 中文
There are a number of circumstances in finance in which it is useful to estimate diffusion processes conditional on some event. In this paper, we develop the theoretical and numerical tools necessary to perform conditional estimation of diffusion processes within a generalized method of moments framework. We illustrate our method by estimating a univariate diffusion process for a standard time-series of interest rate data conditioned to remain between lower and upper boundaries. A test statistic fails to reject by a wide margin the linearity of the conditionally estimated drift coefficient. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
estimation
diffusion process
interest rates
nonlinearity
期刊
IF:
12
论文数:
3.8K
被引数:
5.5W
机构
暂无机构信息
引用论文
Maximum likelihood estimation of discretely sampled diffusions:: A closed-form approximation approach离散采样扩散的最大似然估计:: 一种封闭形式的近似方法
ECONOMETRICA
IF7.1

