What can cluster analysis offer in investing? - Measuring structural changes in the investment universe

Min Kyu Sim, Shijie Deng, Xiaoming Huo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)299-315
Number of pages17
JournalInternational Review of Economics and Finance
Volume71
DOIs
StatePublished - Jan 2021

Keywords

  • Asset pricing model
  • Basis assets
  • Cluster analysis
  • Factor model
  • Investment opportunity set

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