What can cluster analysis offer in investing? - Measuring structural changes in the investment universe
What can cluster analysis offer in investing? - Measuring structural changes in the investment universe
复制标题
聚类分析可以为投资提供什么?
DOI:
10.1016/j.iref.2020.09.004
复制
发表时间:
2021
影响因子:
4.5
通讯作者:
Huo, Xiaoming
中科院分区:
文献类型:
--
作者:
Sim, Min Kyu;Deng, Shijie;Huo, Xiaoming
The return on assets of the investment universe tends to form a cluster structure. This study quantifies this strength of the clustering tendency as a single econometric measure, referred to as modularity. Through an empirical study of the US equity market, we demonstrate that the strength of the clustering tendency changes over time with market fluctuations. That is, normal markets tend to have a clear cluster structure (high modularity), while stressed markets tend to have a blurry cluster structure (low modularity). Modularity assesses the quality of an investment opportunity set in terms of potential diversification benefits. Modularity is an important pricing variable in the cross-sectional returns of US stocks. From 1992 to 2015, the average return of the stocks with the lowest sensitivity to modularity (low modularity beta) exceeds that of the stocks with the highest sensitivity (high modularity beta) by approximately 10.49% annually, adjusted for the Fama-French five-factor exposures. The inclusion of modularity as an asset pricing factor, therefore, expands the investment opportunity set for factor-based investors.
影响因子:
6.1
作者:
GIBBONS, MR;ROSS, SA;SHANKEN, J
通讯作者:
SHANKEN, J
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
D. Materassi;G. Innocenti
通讯作者:
G. Innocenti
DOI:
--
发表时间:
2003
期刊:
影响因子:
--
作者:
D. Ahn;Jennifer S. Conrad;Robert F. Dittmar
通讯作者:
Robert F. Dittmar