因子(编程语言)
计量经济学
因子分析
波动性(金融)
动力系数
衡平法
经济
商业周期
集合(抽象数据类型)
计算机科学
程序设计语言
宏观经济学
政治学
法学
作者
Marc Boettinger,J. Chen
出处
期刊:The journal of beta investment strategies
日期:2024-01-18
卷期号:15 (1): 66-80
标识
DOI:10.3905/jbis.2024.1.055
摘要
Style factors are well-established as systematic sources of risk and return in financial markets over the long run. But the question of investors timing their exposure to these factors is challenging and vigorously debated. Timing on the basis of relative valuations can be difficult, given the persistence of factor, or antifactor, performance over extended periods. Some academic evidence seeks to link factor performance to the business cycle. The idea is that, by identifying a set of variables linked to the general economic environment, a factor-timing strategy can work. In this article, we present a systematic factor timing approach based on a set of four categories of academically supported explanatory variables: the business cycle, factor momentum, factor volatility, and tail events in traditional markets. We combine these explanatory variables, subject to certain constraints, to demonstrate the potential for a statistically significant alpha from this factor timing strategy against its broad equity benchmark.
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