市场代理作为线性资产定价模型的因素:仍然与滚动批判共存

Todd Prono
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引用次数: 11

摘要

提出了一种新的线性资产定价模型的模型错配度量方法,当错配映射到其中一个定价因素的延迟时;在这种情况下,市场回报。这个度量既适合测试模型,包括市场回报作为传统意义上的定价因素(即,所选模型是否对一组风险资产进行定价),也适合对这些模型进行排序(即,确定哪个模型表现最好)。所提出的措施用于定价反映规模,价值和动量溢价的投资组合。研究发现,Jagannathan和Wang(1996)的条件CAPM比Petkova(2006)的简单CAPM和ICAPM的绩效都更好。此外,我们还发现,动量投资组合中的赢家股票可能比输家股票具有更高的市场贝塔系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Market Proxies as Factors in Linear Asset Pricing Models: Still Living with the Roll Critique
A new model misspecification measure for linear asset pricing models is proposed for the case where misspecification maps to latency of one of the pricing factors; in this case, the market return. This measure is suited both for testing models that include the market return as a pricing factor in a traditional sense (i.e., whether the chosen model does or does not price a collection of risky assets) and ranking those models (i.e., determining which model performs best). The proposed measure is used in pricing portfolios reflecting the size, value, and momentum premia. The conditional CAPM of Jagannathan and Wang (1996) is found to best the performance of both the simple CAPM and the ICAPM of Petkova (2006). Moreover, it is discovered that winner stocks in a momentum portfolio may have higher market betas than loser stocks.
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