状态和时间可分离偏好的经验证据:芬兰案例

N. Virk
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引用次数: 0

摘要

本研究以芬兰代表代理为研究对象,在打破状态与时间可分离约束的前提下,探讨在标准电力效用假设基础上制定的修正效用规范的意义。通过迭代GMM程序使用股本回报率和债券回报率进行估计。Epstein和Zin(1991)以及Campbell和Cochrane(1999)模型的结果表明,芬兰的风险溢价在研究样本中是随时间变化的。我们得出结论,Campbell-Cochrane模型在产生合理的模型参数同时抑制规范误差方面优于竞争模型。诊断检查显示模型能够捕捉股票回报随时间的变化。在横截面回归中,它也具有显著的风险价格,甚至比无条件CAPM做得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical Evidence for State and Time Separable Preferences: Case Finland
The study investigates the implications of modified utility specifications developed on the standard power utility assumptions for Finnish representative agent while breaking the state and time separable constraints. The estimations are carried out using returns on equity and bond returns with iterated GMM procedure. The results from Epstein and Zin (1991) and Campbell and Cochrane (1999) models show Finnish risk premia is time varying across the studied samples. We conclude Campbell-Cochrane model outperforms the competing models in producing plausible model parameters while suppressing specification errors. The diagnostic checks show model is able to capture variations in stock returns over time. It also commands a significant price of risk in cross-sectional regressions and even manages to do better than unconditional CAPM.
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