000 04407nam a22004935i 4500
001 978-1-4614-6234-7
003 DE-He213
005 20140220082823.0
007 cr nn 008mamaa
008 130217s2013 xxu| s |||| 0|eng d
020 _a9781461462347
_9978-1-4614-6234-7
024 7 _a10.1007/978-1-4614-6234-7
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aTapiero, Charles S.
_eauthor.
245 1 0 _aEngineering Risk and Finance
_h[electronic resource] /
_cby Charles S. Tapiero.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2013.
300 _aXVIII, 508 p. 52 illus., 39 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v188
505 0 _aRisk: The Convergence -- 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 the Extended CCAPM -- Risk Pricing Models: Applications -- Uncertainty Economics -- Strategic Risk Control and Regulation -- Games, Risk, and Uncertainty.
520 _aRisk 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. Risk models are therefore common to most professions, each with its own methods and techniques based on their needs, experience and a wisdom accrued over long periods of time. This book provides a broad and interdisciplinary foundation to engineering risks and to their financial valuation and pricing. Risk models applied in industry and business, heath care, safety, the environment and regulation are used to highlight their variety while financial valuation techniques are used to assess their financial consequences. This book is technically accessible to all readers and students with a basic background in probability and statistics (with 3 chapters devoted to introduce their elements). Principles of risk measurement, valuation and financial pricing as well as the economics of uncertainty are outlined in 5 chapters with numerous examples and applications. New results, extending classical models such as the CCAPM are presented providing insights to assess the risks and their price in an interconnected, dependent and strategic economic environment. In an environment departing from the fundamental assumptions we make regarding financial markets, the book provides a strategic/game-like approach to assess the risk and the opportunities that such an environment implies. To control these risks, a strategic-control approach is developed that recognizes that many risks result by “what we do” as well as “what others do”. In particular we address the strategic and statistical control of compliance in large financial institutions confronted increasingly with a complex and far more extensive regulation.
650 0 _aEconomics.
650 0 _aEngineering mathematics.
650 0 _aEngineering economy.
650 0 _aOperations research.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461462330
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v188
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6234-7
912 _aZDB-2-SBE
999 _c95618
_d95618