本书深入浅出地介绍股票多因子模型的原理与构建方式,从基础知识、单因子测试、因子合成、股票组合构建等多方面进行介绍。本书共6章:第1章对量化投资进行概述,引出多因子模型的底层逻辑与实践框架;第2章和第3章分别介绍多因子模型的Python编程基础与概率统计基础;第4章介绍单因子的计算过程和处理过程,以及单因子的测试和测试结果的分析方法,是较为核心的一章;第5章介绍单因子如何进行因子合成;第6章介绍简单的组合构建方法和利用组合理论构建组合的方法。
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