Linear Factor Models: Theory, Applications and Pitfalls

A. Meucci
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引用次数: 2

Abstract

We clarify the rationale and differences between the two main categories of linear factor models, namely dominant-residual and systematic-idiosyncratic. We discuss the five different, yet interconnected areas of quantitative finance where linear factor models play an essential role: multivariate estimation theory, asset pricing theory, systematic strategies, portfolio optimization, and risk attribution. We present a comprehensive list of common pitfalls and misunderstandings on linear factor models. An appendix details all the calculations. Supporting code is available for download.
线性因子模型:理论、应用和缺陷
我们澄清了两大类线性因子模型的基本原理和区别,即显性-残差和系统-特质。我们讨论了定量金融中线性因子模型发挥重要作用的五个不同但相互关联的领域:多元估计理论、资产定价理论、系统策略、投资组合优化和风险归因。我们提出了一个关于线性因子模型的常见陷阱和误解的综合列表。附录详细说明了所有的计算。可下载支持代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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