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Published in:
Framing the Risk Challenge Read chapter Read first chapter

2016 | OriginalPaper | Chapter

14. Scientific Deterministic Risk Management

Authors : Nabil Abu el Ata, Rudolf Schmandt

Published in: The Tyranny of Uncertainty

Publisher: Springer Berlin Heidelberg

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Abstract

In risk management a great body of contributions, covering a wide spectrum of preferences and expertise—from deeply theoretical to profoundly pragmatic—currently exists today. All show the interest, but also the urgency to find a solution that can help us avoid the singularities like those that occurred as a result of 2007 economic meltdown. To progress towards these ends, we must continuously seek to recognize the failures of past methods and strive to find alternative solutions. Mathematical emulation allows us to discover which components can cause risk, whatever the risk may be.

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previous chapter The Role of Dynamic Complexity in Risk Propagation
next chapter New Universal Risk Management Methodology (X-Act® OBC Platform)
Footnotes
1
A Hamiltonian system is a dynamical system governed by Hamilton’s equations. In physics, this dynamical system describes the evolution of a physical system such as a planetary system or an electron in an electromagnetic field.
 
Metadata
Title
Scientific Deterministic Risk Management
Authors
Nabil Abu el Ata
Rudolf Schmandt
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
Book
The Tyranny of Uncertainty

Print ISBN: 978-3-662-49103-4

Electronic ISBN: 978-3-662-49104-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-662-49104-1_14