股票和债券收益的横截面和时间序列

R. Koijen, Hanno Lustig, Stijn Van Nieuwerburgh
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引用次数: 223

摘要

与成长型股票相比,价值型股票更容易受到名义债券风险溢价创新的影响。名义债券风险溢价衡量的是市场对未来产出增长周期性变化的感知。如果有关未来产出的好消息降低了投资者当前财富的边际效用,那么ICAPM就会预测价值风险溢价。为了支持商业周期作为一个定价状态变量,我们表明,低价值负增长回报(通常在经济衰退开始时实现,此时名义债券风险溢价较低且在下降)与价值负增长的未来股息增长率较低以及短期内未来产出增长较低有关。由于股票和债券回报之间的这种新的联系,一个简洁的三因素模型可以联合定价账面市值股票和期限排序的债券投资组合,并再现预期债券回报的时间序列变化。结构性动态资产定价模型需要将商业周期作为定价状态变量,在数量上与观察值、权益和名义债券风险溢价保持一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Cross-Section and Time-Series of Stock and Bond Returns
Value stocks have higher exposure to innovations in the nominal bond risk premium, which measures the markets' perception of cyclical variation in future output growth, than growth stocks. The ICAPM then predicts a value risk premium provided that good news about future output lowers the marginal utility of investors' wealth today. In support of the business cycle as a priced state variable, we show that low value minus growth returns, typically realized at the start of recessions when nominal bond risk premia are low and declining, are associated with lower future dividend growth rates on value minus growth and with lower future output growth in the short term. Because of this new nexus between stock and bond returns, a parsimonious three-factor model can jointly price the book-to-market stock and maturity-sorted bond portfolios and reproduce the time-series variation in expected bond returns. Structural dynamic asset pricing models need to impute a central role to the business cycle as a priced state variable to be quantitatively consistent with the observed value, equity, and nominal bond risk premia.
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