Equity markets' clustering and the global financial crisis*. Issue 12 (2nd December 2017)

• Record Type: Journal Article
• Authors: León, Carlos; Kim, Geun-Young; Martínez, Constanza; Lee, Daeyup
• Is Part Of: Quantitative finance. Volume 17:Issue 12(2017)
• Page Start: 1905
• Page End: 1922
• Publication Date: 2017-12-02
• Subjects: Clustering -- Unsupervised learning -- Stock market -- Connectedness; C38 -- L22 -- G15; Finance -- Periodicals; Business mathematics -- Periodicals; Finance -- Mathematical models -- Periodicals; Investments -- Mathematics -- Periodicals; Economics -- Periodicals; Finances -- Modèles mathématiques -- Périodiques; 332.015118
• DOI: 10.1080/14697688.2017.1357970
• Languages: English
• ISSNs: 1469-7688

Abstract

Abstract : The effect of the Global Financial Crisis (GFC) has been substantial across markets and countries worldwide. We examine how the GFC has changed the way equity markets group together based on the similarity of stock indices' daily returns. Our examination is based on agglomerative clustering methods, which yield a hierarchical structure that represents how stock markets relate to each other based on their cross-section similarity. Main results show that both hierarchical structures, before and after the GFC, are readily interpretable, and indicate that geographical factors dominate the hierarchy. The main features of equity markets' hierarchical structure agree with most stylized facts reported in related literature. The most noticeable change after the GFC is an increase in (geographical) clustering. However, the increase in clusters' compactness and the decrease in clusters' separateness point out that world equity markets became more interconnected after the GFC. Some changes in the hierarchy that do not conform to geographical clustering are explained by well-known idiosyncratic features or shocks.