首页> 外文期刊>International journal of finance & economics >AN ITERATED GMM PROCEDURE FOR ESTIMATING THE CAMPBELL-COCHRANE HABIT FORMATION MODEL, WITH AN APPLICATION TO DANISH STOCK AND BOND RETURNS
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AN ITERATED GMM PROCEDURE FOR ESTIMATING THE CAMPBELL-COCHRANE HABIT FORMATION MODEL, WITH AN APPLICATION TO DANISH STOCK AND BOND RETURNS

机译:估计坎贝尔-科克伦习惯形成模型的迭代GMM程序,用于丹麦股票和债券的退货

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摘要

We suggest an iterated GMM approach to estimate and test the consumption based habit persistence model of Campbell and Cochrane, and we apply the approach on annual and quarterly Danish stock and bond returns. For comparative purposes we also estimate and test the standard constant relative risk-aversion (CRRA) model. In addition, we compare the pricing errors of the different models using Hansen and Jagannathan's specification error measure. The main result is that for Denmark the Campbell-Cochrane model does not seem to perform markedly better than the CRRA model. For the long annual sample period covering more than 80 years there is absolutely no evidence of superior performance of the Campbell-Cochrane model. For the shorter and more recent quarterly data over a 20-30 year period, there is some evidence of counter-cyclical time-variation in the degree of risk-aversion, in accordance with the Campbell-Cochrane model, but the model does not produce lower pricing errors or more plausible parameter estimates than the CRRA model.
机译:我们建议使用一种迭代的GMM方法来估计和测试Campbell和Cochrane的基于消费的习惯持久性模型,并将该方法应用于丹麦的年度和季度股票和债券收益。为了进行比较,我们还估算并测试了标准恒定相对风险规避(CRRA)模型。此外,我们使用Hansen和Jagannathan的规格误差度量比较了不同模型的定价误差。主要结果是,对于丹麦而言,坎贝尔-科赫伦模型的表现似乎并不比CRRA模型明显好。对于涵盖80多年的长期年度采样期,绝对没有证据表明Campbell-Cochrane模型具有优越的性能。根据Campbell-Cochrane模型,对于20-30年内较短且较新的季度数据,有一些证据表明风险规避程度存在反周期时变,但该模型无法产生定价误差比CRRA模型低,或者参数估计更合理。

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