Active Credit Portfolio Management in Practice
(Sprache: Englisch)
State of the art techniques and tools needed to facilitate effective credit portfolio management and robust quantitative credit analysis Filled with in depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a...
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State of the art techniques and tools needed to facilitate effective credit portfolio management and robust quantitative credit analysis Filled with in depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a comprehensive introduction to both the theory and real world practice of credit portfolio management.
Klappentext zu „Active Credit Portfolio Management in Practice “
State-of-the-art techniques and tools needed to facilitate effective credit portfolio management and robust quantitative credit analysisFilled with in-depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a comprehensive introduction to both the theory and real-world practice of credit portfolio management. The authors have written a text that is technical enough both in terms of background and implementation to cover what practitioners and researchers need for actually applying these types of risk management tools in large organizations but which at the same time, avoids technical proofs in favor of real applications. Throughout this book, readers will be introduced to the theoretical foundations of this discipline, and learn about structural, reduced-form, and econometric models successfully used in the market today. The book is full of hands-on examples and anecdotes. Theory is illustrated with practical application. The authors' Website provides additional software tools in the form of Excel spreadsheets, Matlab code and S-Plus code. Each section of the book concludes with review questions designed to spark further discussion and reflection on the concepts presented.
State-of-the-art techniques and tools needed to facilitate effective credit portfolio management and robust quantitative credit analysis
Filled with in-depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a comprehensive introduction to both the theory and real-world practice of credit portfolio management. The authors have written a text that is technical enough both in terms of background and implementation to cover what practitioners and researchers need for actually applying these types of risk management tools in large organizations but which at the same time, avoids technical proofs in favor of real applications. Throughout this book, readers will be introduced to the theoretical foundations of this discipline, and learn about structural, reduced-form, and econometric models successfully used in the market today. The book is full of hands-on examples and anecdotes. Theory is illustrated with practical application. The authors' Website provides additional software tools in the form of Excel spreadsheets, Matlab code and S-Plus code. Each section of the book concludes with review questions designed to spark further discussion and reflection on the concepts presented.
Jeffrey R. Bohn, PhD (Tokyo Japan, and San Francisco,CA) leads the Financial Strategies group at Shinsei Bank in Tokyo. Previously, he co-led Moody's KMV's (MKMV's) Global Research group and led MKMV's Credit Strategies group. Roger Stein (New York, NY) is Managing Director at Moody's and leads the Moody's Research and Analytics New Products group. Previously, he co-led MKMV's Global Research group.
Filled with in-depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a comprehensive introduction to both the theory and real-world practice of credit portfolio management. The authors have written a text that is technical enough both in terms of background and implementation to cover what practitioners and researchers need for actually applying these types of risk management tools in large organizations but which at the same time, avoids technical proofs in favor of real applications. Throughout this book, readers will be introduced to the theoretical foundations of this discipline, and learn about structural, reduced-form, and econometric models successfully used in the market today. The book is full of hands-on examples and anecdotes. Theory is illustrated with practical application. The authors' Website provides additional software tools in the form of Excel spreadsheets, Matlab code and S-Plus code. Each section of the book concludes with review questions designed to spark further discussion and reflection on the concepts presented.
Jeffrey R. Bohn, PhD (Tokyo Japan, and San Francisco,CA) leads the Financial Strategies group at Shinsei Bank in Tokyo. Previously, he co-led Moody's KMV's (MKMV's) Global Research group and led MKMV's Credit Strategies group. Roger Stein (New York, NY) is Managing Director at Moody's and leads the Moody's Research and Analytics New Products group. Previously, he co-led MKMV's Global Research group.
Inhaltsverzeichnis zu „Active Credit Portfolio Management in Practice “
Foreword. Preface. Acknowledgments. Chapter 1. The Framework: Definitions and Concepts. What Is Credit? Evolution of Credit Markets. Defining Risk. A Word About Regulation. What Are Credit Models Good For? Active Credit Portfolio Management (ACPM). Framework at 30,000 Feet. Building Blocks of Portfolio Risk. Using PDs in Practice. Value, Price, and Spread. Defining Default. Portfolio Performance Metrics. Data and Data Systems. Review Questions. Chapter 2. ACPM in Practice. Bank Valuation. Organizing Financial Institutions: Dividing into Two Business Lines. Emphasis on Credit Risk. Market Trends Supporting ACPM. Financial Instruments Used for Hedging and Managing Risk in a Credit Portfolio. Mark To Market and Transfer Pricing. Metrics for Managing a Credit Portfolio. Data and Models. Evaluating an ACPM Unit. Managing a Research Team. Conclusion. Review Questions. Exercises. Chapter 3. Structural Models. Structural Models in Context. A Basic Structural Model. Black Scholes Merton (BSM). Valuation. Modifying BSM. First Passage Time: Black Cox. Practical Implementation: Vasicek Kealhofer. Stochastic Interest Rates: Longstaff Schwartz. Jump Diffusion Models: Zhou. Endogenous Default Barrier (Taxes and Bankruptcy Costs): Leland Toft. Corporate Transaction Analysis. Liquidity. Other Structural Approaches. Conclusion. Appendix 1. Derivation of Black Scholes Merton Framework for Calculating Distance to Default (DD). Appendix 2. Derivation of Conversion of Physical Probability of Default (PD) to a Risk Neutral Probability of Default (PD Q ). Review Questions. Exercises. Chapter 4. Econometric Models. Discrete Choice Models. Early Discrete Choice Models: Beaver (1966) and Altman (1968). Hazard Rate (Duration) Models. Example of a Hazard Rate Framework for Predicting Default: Shumway (2001). Hazard Rates versus Discrete Choice. Practical Applications: Falkenstein, et al. (2000) and Dwyer and Stein (2004). Calibrating Econometric Models. Calibrating to PDs. Calibrating to
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Ratings. Interpreting the Relative Influence of Factors in Econometric Models. Data Issues. Taxonomy of Basic Data Woes. Biased Samples Cannot Easily Be Fixed. Conclusion. Appendix 1. Some Alternative Default Model Specifications. Review Questions. Exercises. Chapter 5. Loss Given Default. Road to Recovery: The Timeline of Default Resolution. Measures of LGD (Recovery). The Relationship between Market Prices and Ultimate Recovery. Approaches to Modeling LGD: The LossCalc (2002, 2004) Approaches and Extensions. Conclusion. Review Questions. Exercises. Chapter 6. Reduced Form Models. Reduced Form Models in Context. Basic Intensity Models. A Brief Interlude to Discuss Valuation. Duffie and Singleton Intensity Model. Credit Rating Transition Models. Default Probability Density Version of Intensity Models (Hull White). Generic Credit Curves. Conclusion. Appendix: Kalman Filter. Review Questions. Exercises. Chapter 7. PD Model Validation. The Basics. Parameter Robustness. Measures of Model Power. Measures of PD Levels and Calibration. Sample Size and Confidence Bounds. Assessing the Economic Value of More Powerful PD Models. Avoiding Overfitting: A Walk Forward Approach to Model Testing. Conclusion. Appendix 1. Type I and Type II Error: Converting Cap Plots into Contingency Tables. Appendix 2. The Likelihood for the General Case of a Default Model. Appendix 3. Tables of ROC e and n max. Appendix 4. Proof of the Relationship between NPV Terms and ROC Terms. Appendix 5. Derivation of Minimum Sample Size Required to Test for Default Rate Accuracy in Uncorrelated Case. Appendix 6. Tables for Lower Bounds of e and N on Probabilities of Default. Review Questions. Exercises. Chapter 8. Portfolio Models. A Structural Model of Default Risk. Measurement of Portfolio Diversification. Portfolio Risk Assuming No Credit Migration. Structural Models of Default Correlation. Credit Migration. A Model of Value Correlation. Probability of Large Losses. Valuation. Return Calculations. Risk Calcul
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Autoren-Porträt von Jeffrey R. Bohn, Roger M. Stein
Jeffrey R. Bohn, PhD (Tokyo Japan, and San Francisco,CA) leads the Financial Strategies group at Shinsei Bank in Tokyo. Previously, he co-led Moody's KMV's (MKMV's) Global Research group and led MKMV's Credit Strategies group.Roger M. Stein, PhD (New York, NY) is Group Managing Director at Moody's where he leads the newly formed Moody's Quantitative Research and Analytics group. Previously, he co-led MKMV's Global Research group. Prior to that he led Moody's Risk Management Services' Research Group.
Bibliographische Angaben
- Autoren: Jeffrey R. Bohn , Roger M. Stein
- 2009, 1. Auflage, 640 Seiten, Maße: 16,2 x 23,9 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470080183
- ISBN-13: 9780470080184
- Erscheinungsdatum: 28.04.2009
Sprache:
Englisch
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