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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Bibliographic Details
Main Authors: Tapiero, Charles S.
Corporate Authors: SpringerLink (Online service)
Published:
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.