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首页> 外文期刊>The Journal of Business >A Refinement to Aiet-Sahalia's (2002) 'Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-Form Approximation Approach'
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A Refinement to Aiet-Sahalia's (2002) 'Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-Form Approximation Approach'

机译:对Aiet-Sahalia(2002)“离散采样扩散的最大似然估计:一种封闭形式的近似方法”的改进

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摘要

This paper provides a closed-form density approximation when the underlying state variable is a one-dimensional diffusion. Building on Aiet-Sahalia (2002), we show that our refinement is applicable under a wide class of drift and diffusion functions. In addition, it facilitates the maximum likelihood estimation of discretely sampled diffusion models of short interest-rate or stock volatility with unknown conditional densities. Our interest-rate examples demonstrate that the analytical approximation is sufficiently accurate.
机译:当基础状态变量是一维扩散时,本文提供了一种封闭形式的密度近似。基于Aiet-Sahalia(2002),我们表明我们的改进适用于各种漂移和扩散函数。此外,它有助于在条件密度未知的情况下,对短期利率或股票波动率的离散采样扩散模型进行最大似然估计。我们的利率示例表明,分析逼近足够准确。

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