LEADER 01157nam--2200397---450- 001 990000668210203316 005 20090116140723.0 010 $a0-538-82160-4 035 $a0066821 035 $aUSA010066821 035 $a(ALEPH)000066821USA01 035 $a0066821 100 $a20011005d1992----km-y0itay0103----ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $aFinancial statement analysis$eusing financial accounting information$fCharles H. Gibson 205 $a5 ed. 210 $aConcinnati$cSouth-Western$dc1992 215 $aXVI, 783 p.$d24 cm 410 $12001 461 1$1001-------$12001 606 0 $aRendiconto finanziario 676 $a657.3 700 1$aGIBSON,$bCharles H.$0115234 801 0$aIT$bsalbc$gISBD 912 $a990000668210203316 951 $a657.3 GIB 1 (IRA 11 185)$b1406 EC$cIRA 11$d00010848 959 $aBK 969 $aECO 979 $aPATTY$b90$c20011005$lUSA01$h1306 979 $c20020403$lUSA01$h1716 979 $aPATRY$b90$c20040406$lUSA01$h1646 979 $aRSIAV3$b90$c20090116$lUSA01$h1407 996 $aFinancial Statement Analysis$9417105 997 $aUNISA LEADER 04397nam 2200601Ia 450 001 9910438092803321 005 20200520144314.0 010 $a1-299-33737-6 010 $a1-4614-6234-7 024 7 $a10.1007/978-1-4614-6234-7 035 $a(CKB)2670000000336373 035 $a(EBL)1082109 035 $a(OCoLC)828303015 035 $a(SSID)ssj0000878828 035 $a(PQKBManifestationID)11482781 035 $a(PQKBTitleCode)TC0000878828 035 $a(PQKBWorkID)10857819 035 $a(PQKB)10551444 035 $a(DE-He213)978-1-4614-6234-7 035 $a(MiAaPQ)EBC1082109 035 $a(PPN)168304961 035 $a(EXLCZ)992670000000336373 100 $a20130223d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEngineering risk and finance /$fCharles S. Tapiero 205 $a1st ed. 2013. 210 $aNew York $cSpringer$dc2013 215 $a1 online resource (516 p.) 225 1 $aInternational series in operations research & management science ;$vv.188 300 $aDescription based upon print version of record. 311 $a1-4899-8848-3 311 $a1-4614-6233-9 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 410 0$aInternational series in operations research & management science ;$v188. 606 $aRisk management 606 $aEngineering$xManagement 615 0$aRisk management. 615 0$aEngineering$xManagement. 676 $a658.155 700 $aTapiero$b Charles S$025194 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438092803321 996 $aEngineering Risk and Finance$92517750 997 $aUNINA