Factor Timing

Valentin Haddad, S. Kozak, S. Santosh
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Abstract

The optimal factor timing portfolio is equivalent to the stochastic discount factor. We propose and implement a method to characterize both empirically. Our approach imposes restrictions on the dynamics of expected returns which lead to an economically plausible SDF. Market-neutral equity factors are strongly and robustly predictable. Exploiting this predictability leads to substantial improvement in portfolio performance relative to static factor investing. The variance of the corresponding SDF is larger, more variable over time, and exhibits different cyclical behavior than estimates ignoring this fact. These results pose new challenges for theories that aim to match the cross-section of stock returns.
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时间因素
最优因子择时投资组合相当于随机折现因子。我们提出并实现了一种方法来描述这两个经验。我们的方法对预期收益的动态施加了限制,从而导致经济上合理的SDF。市场中性的股票因素具有很强的可预测性。利用这种可预测性,相对于静态因素投资,可以显著改善投资组合的表现。与忽略这一事实的估计相比,相应的SDF的方差更大,随时间变化更大,并且表现出不同的周期性行为。这些结果对旨在匹配股票收益横截面的理论提出了新的挑战。
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