Engineering risk and finance
Risk models are models of uncertainty, engineered for some purposes. They are "educated guesses and hypotheses" assessed and valued in terms of well-defined future states and their consequences. They are engineered to predict, to manage countable and accountable futures and to provide a fr...
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Corporate Authors: | |
Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
International Series in Operations Research & Management Science ;
v.188 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-1-4614-6234-7 |
Summary: |
Risk models are models of uncertainty, engineered for some purposes. They are "educated guesses and hypotheses" assessed and valued in terms of well-defined future states and their consequences. They are engineered to predict, to manage countable and accountable futures and to provide a frame of reference within which we may believe that "uncertainty is tamed". Quantitative-statistical tools are used to reconcile our information, experience and other knowledge with hypotheses that both serve as the foundation of risk models and also value and price risk. |
Carrier Form: | 1 online resource (xviii, 508 p.) |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781461462347 (electronic bk.) 1461462347 (electronic bk.) |
Index Number: | HD61 |
CLC: | F272.35 |
Contents: |
Engineering risk -- Risk management everywhere -- Probability elements: an applied refresher -- Multivariate probability distributions: applications and risk models -- Temporal risk processes -- Risk measurement -- Risk valuation -- Risk economics and mult-agent CCAPM -- Risk pricing models: applications -- Uncertainty economics -- Strategic risk control and regulation -- Games, risk and uncertainty. |