Unemployment-based Capital Asset Pricing Model

Mikhail Kindrat
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Abstract

In this paper, we wish to examine how prospects of unemployment might change predictions of consumption based CAPM with regards to equity premium and term structure of interest. In particular, instead of agents having varied consumption growth, we study agents with probability of losing significant portion of their consumption. Thus, volatility of unemployment determines risk in the economy, rather than volatility of the consumption. Within framework of Epstein-Zin utility function, our model correctly predicts term structure premium and equity premium. In particular, the model predicts one-year risk-free rate of 1.71%, 30-year risk-free rate of 3.17% and equity rate of 7.33% given parameter of risk aversion of 1,2, EIS of 1,54, and time discount factor of 0.9578. Additionally, we study importance of third moments in our model and discover new pricing factor that is missing in current skewness models. Empirical tests under various conditions confirm statistical significance of our factor. Finally, we utilize our model to predict market changes based on shifts in term structure and then empirically verify model predictions. This paper demonstrates that standard C-based CAPM is more than enough to predict observed term structure and equity premium and no model modification is required if proper consumption variation statistics is used.
基于失业的资本资产定价模型
在本文中,我们希望研究失业前景如何改变基于消费的CAPM的股票溢价和利率期限结构的预测。特别是,我们研究的不是具有不同消费增长的代理,而是具有损失其消费的显著部分的概率的代理。因此,决定经济风险的是失业的波动性,而不是消费的波动性。在Epstein-Zin效用函数框架内,我们的模型正确预测了期限结构溢价和股权溢价。其中,在风险厌恶程度为1,2,EIS为1,54,时间折现系数为0.9578的情况下,模型预测一年期无风险利率为1.71%,30年期无风险利率为3.17%,权益利率为7.33%。此外,我们研究了模型中第三矩的重要性,并发现了当前偏度模型中缺失的新定价因素。各种条件下的实证检验证实了因子的统计学显著性。最后,我们利用我们的模型来预测基于期限结构变化的市场变化,然后实证验证模型的预测。本文证明,基于标准c的CAPM足以预测观察到的期限结构和股权溢价,如果使用适当的消费变异统计,则无需对模型进行修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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