Phillips, Peter J. (2009) Applying modern portfolio theory to the analysis of terrorism: computing the set of attack method combinations from which the rational terrorist group will choose in order to maximise injuries and fatalities. Defence and Peace Economics, 20 (3). pp. 193-213. ISSN 1024-2694
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Official URL: http://www.informaworld.com/smpp/title~content=t713640174
Identification Number or DOI: doi: 10.1080/10242690801923124
Abstract
In this paper, terrorism is analysed using the tools of modern portfolio theory. This approach permits the analysis of the returns that a terrorist group can expect from their activities as well as the risk they face. The analysis sheds new light on the nature of the terrorist group’s (attack method) choice set and the efficiency properties of that set. If terrorist groups are, on average, more risk averse, the economist can expect the terrorist group to exhibit a bias towards bombing and armed attack. In addition, even the riskiest (from the terrorist group’s point of view) combinations of attack methods have maximum expected returns of less than 70 injuries and fatalities per attack per year.
| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Additional Information: | Author's version deposited in accordance with the copyright policy of the publisher. |
| Uncontrolled Keywords: | terrorism; modern portfolio theory; mean-variance analysis; efficient choice set |
| Fields of Research (FOR2008): | 17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170202 Decision Making 14 Economics > 1402 Applied Economics > 140299 Applied Economics not elsewhere classified 14 Economics > 1402 Applied Economics > 140207 Financial Economics |
| Subjects: | 340000 Economics > 340200 Applied Economics > 340299 Applied Economics not elsewhere classified |
| Socio-Economic Objective (SEO2008): | A Defence > 81 Defence > 8101 Defence > 810107 National Security |
| ID Code: | 5423 |
| Deposited By: | |
| Deposited On: | 21 Jul 2009 13:16 |
| Last Modified: | 08 Dec 2011 14:10 |
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