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Harvard business review on increasing customer loyalty
In: The Harvard Business Review paperback series
Militants in retreat: how terrorists behave when they are losing
In: Studies in conflict and terrorism
ISSN: 1521-0731
World Affairs Online
Militants in Retreat: How Terrorists Behave When They Are Losing
In: Studies in conflict and terrorism, Band 46, Heft 2, S. 137-161
ISSN: 1521-0731
The maintenance costs of aging aircraft: insights from commercial aviation
In: Rand Corporation monograph series
Delta-Gamma Component VaR: Non-Linear Risk Decomposition for any Type of Funds
In: R/Finance, Chicago, 2015
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Working paper
A High Frequency Trade Execution Model for Supervised Learning
In: Forthcoming in High Frequency
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Working paper
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Working paper
From revolution and terrorism to revolutionary terrorism: the case of militant Salafism
In: International affairs, Band 98, Heft 6, S. 2119-2139
ISSN: 1468-2346
Abstract
What is the relationship between revolution and terrorism? Much of the time, terrorism and revolution are taken to be distinct forms of political contention. This article argues that, to the contrary, their relationship is much closer than is often imagined. We show that a range of contemporary terrorist groups contain revolutionary elements: they seek to capture and hold territory, and see themselves as part of movements where the goal is to transform international as well as domestic orders. This provides two points of distinction: first, between 'order-maintaining' and 'order-transforming' goals; and second, between 'minimalist' and 'maximalist' tactics. The result is a taxonomy of different types of 'revolutionary terrorism'. This analytic is used to dig deeper into the parameters of revolutionary terrorism, using militant Salafism as an example of a maximalist, order-transforming movement. A focus on transnational, order-transforming revolutionary terrorism generates a range of insights into the violent strategies, international dynamics and organizational forms used by Islamic State, al-Qaeda and related groups. The resulting research agenda, the article concludes, is rich in possibilities.
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Gaussian Process Regression for Derivative Portfolio Modeling and Application to Credit Valuation Adjustment Computations
In: Journal of Computational Finance, Band 24, Heft 1
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Working paper