A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated… Mehr…
A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict black swan events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation. Extreme Risk Management brings causation into the equation. The use of causal models in risk management, securities valuation, and portfolio management provides a real and much-needed alternative to the stochastic models used so far. Providing an alternative tool for risk modeling and scenario-building in stress-testing, this game-changing book uses causal models that help you: Evaluate risk with extraordinary accuracy Predict devastating worst-case scenarios Enhance transparency Facilitate better decision making TABLE OF CONTENTS Plausibility vs. Probability: Alternative World Views The Evolution of Modern Analytics Risk Management Metrics and Models The Future as Forecast: Assumptions Implicit in Stochastic Risk Measurement Models An Alternative Path to Actionable Intelligence Solutions: Moving Toward a Connectivist Approach An Introduction to Causality: Theory, Models, and Inference Risk Inference Networks: Estimating Vulnerability, Consequences, and Likelihood Securities Valuation, Risk Measurement, and Portfolio Management Using Causal Models Risk Fusion and Super Models: A Framework for Enterprise Risk Management Inferring Causality from Historical Market Behavior Sensemaking for Warnings: Reverse-Engineering Market Intelligence The United States as Enterprise: Implications for National Policy and Security A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict black swan events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation. Extreme Risk Management brings causation into the equation. The use of causal eBook ePUB 28.06.2010 eBooks>Fremdsprachige eBooks>Englische eBooks, MCGRAW-HILL Higher Education, .201<
A revolutionary new approach for detecting and managing inherent riskThe unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated … Mehr…
A revolutionary new approach for detecting and managing inherent riskThe unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict black swan events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation.Extreme Risk Management brings causation into the equation. The use of causal models in risk management, securities valuation, and portfolio management provides a real and much-needed alternative to the stochastic models used so far. Providing an alternative tool for risk modeling and scenario-building in stress-testing, this game-changing book uses causal models that help you:Evaluate risk with extraordinary accuracyPredict devastating worst-case scenariosEnhance transparencyFacilitate better decision makingTABLE OF CONTENTSPlausibility vs. Probability: Alternative World ViewsThe Evolution of Modern AnalyticsRisk Management Metrics and ModelsThe Future as Forecast: Assumptions Implicit in Stochastic Risk Measurement ModelsAn Alternative Path to Actionable IntelligenceSolutions: Moving Toward a Connectivist ApproachAn Introduction to Causality: Theory, Models, and InferenceRisk Inference Networks: Estimating Vulnerability, Consequences, and LikelihoodSecurities Valuation, Risk Measurement, and Portfolio Management Using Causal ModelsRisk Fusion and Super Models: A Framework for Enterprise Risk ManagementInferring Causality from Historical Market BehaviorSensemaking for Warnings: Reverse-Engineering Market IntelligenceThe United States as Enterprise: Implications for National Policy and Security; EPUB; Reference > Research & information: general > Decision theory: general > Risk assessment, McGraw-Hill Education<
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Lieferung innerhalb 1-4 Werktagen. Versandkostenfrei, wenn Buch oder Hörbuch enthalten ist, sonst 2,95 EUR. Ab 19,90 EUR versandkostenfrei. (Deutschland) eBooks > Belletristik > Erzählungen, McGraw-Hill Education,<
A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated… Mehr…
A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict black swan events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation. Extreme Risk Management brings causation into the equation. The use of causal models in risk management, securities valuation, and portfolio management provides a real and much-needed alternative to the stochastic models used so far. Providing an alternative tool for risk modeling and scenario-building in stress-testing, this game-changing book uses causal models that help you: Evaluate risk with extraordinary accuracy Predict devastating worst-case scenarios Enhance transparency Facilitate better decision making TABLE OF CONTENTS Plausibility vs. Probability: Alternative World Views The Evolution of Modern Analytics Risk Management Metrics and Models The Future as Forecast: Assumptions Implicit in Stochastic Risk Measurement Models An Alternative Path to Actionable Intelligence Solutions: Moving Toward a Connectivist Approach An Introduction to Causality: Theory, Models, and Inference Risk Inference Networks: Estimating Vulnerability, Consequences, and Likelihood Securities Valuation, Risk Measurement, and Portfolio Management Using Causal Models Risk Fusion and Super Models: A Framework for Enterprise Risk Management Inferring Causality from Historical Market Behavior Sensemaking for Warnings: Reverse-Engineering Market Intelligence The United States as Enterprise: Implications for National Policy and Security A revolutionary new approach for detecting and managing inherent risk The unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict black swan events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation. Extreme Risk Management brings causation into the equation. The use of causal eBook ePUB 28.06.2010 eBooks>Fremdsprachige eBooks>Englische eBooks, MCGRAW-HILL Higher Education, .201<
A revolutionary new approach for detecting and managing inherent riskThe unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated … Mehr…
A revolutionary new approach for detecting and managing inherent riskThe unprecedented turmoil in the financial markets turned the field of quantitative finance on its head and generated severe criticism of the statistical models used to manage risk and predict black swan events. Something very important had been lost when statistical representations replaced expert knowledge and statistics substituted for causation.Extreme Risk Management brings causation into the equation. The use of causal models in risk management, securities valuation, and portfolio management provides a real and much-needed alternative to the stochastic models used so far. Providing an alternative tool for risk modeling and scenario-building in stress-testing, this game-changing book uses causal models that help you:Evaluate risk with extraordinary accuracyPredict devastating worst-case scenariosEnhance transparencyFacilitate better decision makingTABLE OF CONTENTSPlausibility vs. Probability: Alternative World ViewsThe Evolution of Modern AnalyticsRisk Management Metrics and ModelsThe Future as Forecast: Assumptions Implicit in Stochastic Risk Measurement ModelsAn Alternative Path to Actionable IntelligenceSolutions: Moving Toward a Connectivist ApproachAn Introduction to Causality: Theory, Models, and InferenceRisk Inference Networks: Estimating Vulnerability, Consequences, and LikelihoodSecurities Valuation, Risk Measurement, and Portfolio Management Using Causal ModelsRisk Fusion and Super Models: A Framework for Enterprise Risk ManagementInferring Causality from Historical Market BehaviorSensemaking for Warnings: Reverse-Engineering Market IntelligenceThe United States as Enterprise: Implications for National Policy and Security; EPUB; Reference > Research & information: general > Decision theory: general > Risk assessment, McGraw-Hill Education<
- No. 9780071759564. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
Christina I. Ray: Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk als eBook Download von Christina I. Ray - neues Buch
Lieferung innerhalb 1-4 Werktagen. Versandkostenfrei, wenn Buch oder Hörbuch enthalten ist, sonst 2,95 EUR. Ab 19,90 EUR versandkostenfrei. (Deutschland) eBooks > Belletristik > Erzäh… Mehr…
Lieferung innerhalb 1-4 Werktagen. Versandkostenfrei, wenn Buch oder Hörbuch enthalten ist, sonst 2,95 EUR. Ab 19,90 EUR versandkostenfrei. (Deutschland) eBooks > Belletristik > Erzählungen, McGraw-Hill Education,<
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Buch in der Datenbank seit 2009-10-04T18:48:43+02:00 (Berlin) Detailseite zuletzt geändert am 2022-08-05T20:30:09+02:00 (Berlin) ISBN/EAN: 9780071759564
ISBN - alternative Schreibweisen: 978-0-07-175956-4 Alternative Schreibweisen und verwandte Suchbegriffe: Titel des Buches: man revolution, christina, revolutionary
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