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Conditional Betas: Asymmetric Responses to Good and Bad News.

机译:有条件的Beta:对好消息和坏消息的不对称响应。

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摘要

In this dissertation we propose a theoretical model for conditional betas. Within a rational expectation equilibrium model, we provide a precise characterization of the dynamics of betas and the price of beta risk in terms of the model's primitive parameters and state variables. The expressions reveal that during periods of higher uncertainty, the investor requires a higher market premium. Likewise, the conditional betas also respond to levels of uncertainty; depending on the cash-flow properties of the asset, the asset's beta can increase or decrease on higher uncertainty. Because of the connection with uncertainty, conditional betas derive the stochastic properties from investor beliefs. One of such properties is the asymmetric response to positive and negative news.;We also provide empirical evidence of the model's predictions about the dynamics of betas. For this empirical investigation, we propose an econometric specification that provides time-varying estimates of betas and relates them, non-linearly, to investor beliefs. As a by-product, we suggest proxies for investor beliefs and uncertainty that can be extracted from stock returns. The dynamics implied by the estimated parameters confirms the model's prediction that value and growth betas have opposing sensitivity to the levels of uncertainty.
机译:本文提出了条件β的理论模型。在理性预期均衡模型中,我们根据模型的原始参数和状态变量来精确描述β的动态变化和β风险的价格。这些表达式表明,在不确定性较高的时期,投资者需要较高的市场溢价。同样,条件beta也可以响应不确定性;根据资产的现金流量属性,资产的beta可能会在不确定性较高的情况下增加或减少。由于存在不确定性,因此有条件的beta会从投资者的信念中得出随机属性。这种属性之一是对正面和负面新闻的不对称响应。;我们还提供了有关模型对β动力学的预测的经验证据。对于这一实证研究,我们提出了一个计量经济学规范,该规范提供了贝塔系数随时间变化的估计,并将它们与投资者的信念非线性相关。作为副产品,我们建议从股票回报中提取出投资者信念和不确定性的代理。估计参数所隐含的动态性证实了模型的预测,即值和增长beta对不确定性水平具有相反的敏感性。

著录项

  • 作者

    Chague, Fernando Daniel.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Economics General.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 114 p.
  • 总页数 114
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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