Measuring the systemic importance of interconnected industries in the world economic system

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)110-130
Journal / PublicationIndustrial Management & Data Systems
Volume117
Issue number1
Online published6 Feb 2017
Publication statusPublished - 2017

Abstract

Purpose - The purpose of this paper is to measure the systemic importance of industry in the world economic system under the system-wide event - the crisis of 2008-2009, by viewing this system as a weighted directed network of interconnected industries. Design/methodology/approach - First, the authors investigate this crisis at three different levels based on network-related indicators: the "macro" global level, the "meso" country level, and the "micro" industry level. This investigation not only provides evidence for the systemic influence, that is, systemic risk, of the crisis, but also reveals the contagion mechanism of the crisis, which supports the stress testing. Second, the authors use a network-related business intelligence algorithm, the combined hyperlink-induced topic search (HITS) algorithm, to measure the contribution of a given individual industry to the overall risk of the economic system or, in other words, the systemic importance of the individual industry. Findings - The HITS algorithm considers both the market information and the interconnectedness of the industries. Based on the stress testing, the performance of the combined HITS is compared with the purely market-based systemic risk measurement. The results show that the combined HITS outperforms the baseline in finding the top N systemically important industries. Practical implications - The combined HITS algorithm provides a novel network-based perspective of systemic risk measurement. Originality/value - Measuring the systemic importance based on the combined HITS algorithm can help managers and regulators design effective risk management policies. In this respect, the work initiates a research direction of studying the systemic risk in a business system based on a network-related business intelligence algorithm because the business system can be viewed as an interconnected network.

Research Area(s)

  • HITS, Network analysis, Stress testing, Systemic importance, Systemic risk