Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk
Autor Christina Rayen Limba Engleză Hardback – 16 iul 2010
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
- 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
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Specificații
ISBN-13: 9780071700597
ISBN-10: 0071700595
Pagini: 304
Dimensiuni: 163 x 236 x 24 mm
Greutate: 0.58 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 0071700595
Pagini: 304
Dimensiuni: 163 x 236 x 24 mm
Greutate: 0.58 kg
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
Introduction: A Profound Transformation in Risk Management
1. Plausibility vs. Probability: Alternative World Views
2. The Evolution of Modern Analytics
3. Risk Management Metrics and Models
4. The Future as Forecast: Assumptions Implicit in Stochastic Risk Measurement Models
5. An Alternative Path to Actionable Intelligence
6. Solutions: Moving Toward a Connectivist Approach
7. An Introduction to Causality: Theory, Models, and Inference
8. Risk Inference Networks: Estimating Vulnerability, Consequences, and Likelihood
9. Securities Valuation, Risk Measurement, and Portfolio Management Using Causal Models
10. Risk Fusion and Super Models: A Framework for Enterprise Risk Management
11. Inferring Causality from Historical Market Behavior
12. Sensemaking for Warnings: Reverse-Engineering Market Intelligence
13. The United States as Enterprise: Implications for National Policy and Security
1. Plausibility vs. Probability: Alternative World Views
2. The Evolution of Modern Analytics
3. Risk Management Metrics and Models
4. The Future as Forecast: Assumptions Implicit in Stochastic Risk Measurement Models
5. An Alternative Path to Actionable Intelligence
6. Solutions: Moving Toward a Connectivist Approach
7. An Introduction to Causality: Theory, Models, and Inference
8. Risk Inference Networks: Estimating Vulnerability, Consequences, and Likelihood
9. Securities Valuation, Risk Measurement, and Portfolio Management Using Causal Models
10. Risk Fusion and Super Models: A Framework for Enterprise Risk Management
11. Inferring Causality from Historical Market Behavior
12. Sensemaking for Warnings: Reverse-Engineering Market Intelligence
13. The United States as Enterprise: Implications for National Policy and Security