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001			287831
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2013 xxu| o |||| 0|eng d
020			_a9781461462347 _99781461462347
024	7		_a10.1007/9781461462347 _2doi
035			_avtls000341856
039		9	_a201509030341 _bVLOAD _c201405050235 _dVLOAD _y201402061110 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aHD30.23
100	1		_aTapiero, Charles S. _eautor _9304263
245	1	0	_aEngineering Risk and Finance / _cby Charles S. Tapiero.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2013.
300			_axviii, 508 páginas 52 ilustraciones, 39 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v188
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781461462330
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-6234-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c287831 _d287831