Exploiting the Conditional Density in Estimating the Term Structure: An Application to the Cox, Ingersoll, and Ross Model
提出一种利用状态变量条件密度估计和检验期限结构模型的方法，应用于Cox-Ingersoll-Ross两因子扩展模型，发现仅用短期票据估计会导致长期债券定价误差大，且原模型和扩展模型均不能很好描述国债市场。
We propose an empirical method that utilizes the conditional density of the state variables to estimate and test a term structure model with known price formulae, using data on both discount and coupon bonds. The method is applied to an extension of a two-factor model due to Cox, Ingersoll, and Ross (1985; CIR). Our results show that estimates based on only bills imply unreasonably large price errors for longer maturities. We reject the original CIR model using a likelihood ratio test, and conclude that the extended CIR model also fails to provide a good description of the Treasury market.