I've touched a little bit of so-called modern portfolio theory. The basic philosophy behind (both single-index model and multi-variable model) is to decompose an extremely unpredictable variable (expected return) to one (beta) or several less unpredictable variables (GDP, interest...,etc.) The previous problem still exists: how to measure the difference between expection and real value? Well, the theory assume these expectations are easier to measure...
Another fundmantal issue of the theory is to assume there's a linear relationship between expected returen and all kinds of decomposed variables. One of the shortcomming of regression analysis is overlooking of movement patterns. We need using more advanced mathmatical tools like wavelet analysis, fraction, game theory, fuzzy logic or evolutionary model (my favorite) to address the complexity we face today.
Modern portfolio theory
最新推荐文章于 2025-10-12 10:02:35 发布
本文探讨了现代投资组合管理的基本理念,特别是单指数模型和多元模型。这些模型旨在将难以预测的预期回报分解为更易预测的因素,如β系数、GDP等。文章还讨论了该理论的一些局限性,包括其假设预期回报与分解变量之间的线性关系,并提出了使用更先进的数学工具来应对当前复杂性的需求。
2088

被折叠的 条评论
为什么被折叠?



