Maximum pseudo-Likelihood method is used to estimate the coefficient functions in the diffusion of Single-Factor Interest Rate Models.
本文用极大拟似然估计法估计了中国银行间市场七天拆借利率扩散模型的参数。
The marginal densities of single-factor interest rate models can be obtained by maximum likelihood estimation.
由极大似然估计可以得到单因子利率模型的边际密度函数。
The results show that all the single-factor models cannot match dynamic change of the short interest rate, and the CKLS model does the best among them.
实证结果表明所有的单因子短期利率模型都不能很好地描述中国上海证券交易所债券市场上的短期利率变化，CKLS模型是它们中表现最好的单因子利率模型。
In case of single-factor interest rate models, there is only one state variable, the default-free instantaneous interest rate.
单因子利率模型中，只设定一个状态变量，即无违约风险的瞬时利率。 瞬时利率的运动变化决定了整个利率期限结构的运动变化。
In case of single-factor interest rate models, there is only one state variable, the default-free instantaneous interest rate.
单因子利率模型中，只设定一个状态变量，即无违约风险的瞬时利率。 瞬时利率的运动变化决定了整个利率期限结构的运动变化。
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