Logo image
Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach
Journal article   Open access   Peer reviewed

Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

Jose Arreola Hernandez, Shawkat Hammoudeh, Duc Khuong Nguyen, Mazin A. M. Al Janabi and Juan Carlos Reboredo
Applied economics, v 49(25), pp 2409-2427
28 May 2017
url
https://mpra.ub.uni-muenchen.de/73399/1/MPRA_paper_73399.pdfView

Abstract

dependence structure retail and manufacturing stocks risk analysis Vine copulas
We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008-2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.

Metrics

15 Record Views
55 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#8 Decent Work and Economic Growth

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Economics
Logo image