摘要
提出了风险厌恶度量的半参数ARCH-M模型,给出了两步估计方法来估计均值中的未知函数和未知参数:第一步是基于局部线性估计方法,第二步是基于极大似然估计方法.在一定的条件下讨论了估计的渐近性质.
A semi-parametric ARCH-M model is proposed to measure the risk aversion of the stock market. Two-step estimates are suggested to estimate the nonparametric function in the price of volatility and parameters in volatility, in which the first step estimate is based on local linear smoothing and the second-step estimate on the maximum likelihood method. Asymptotic properties of the estimators are discussed based on some assumptions.
出处
《广州大学学报(自然科学版)》
CAS
2008年第3期1-5,共5页
Journal of Guangzhou University:Natural Science Edition