Operational Risk: Modeling Analytics

Discover how to optimize business strategies from both qualitative and quantitative points of view
Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is designed to provide risk analysts with a framework of the mathematical models and methods used in the measurement and modeling of operational risk in both the banking and insurance sectors.
Beginning with a foundation for operational risk modeling and a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical methods for calibrating models of operational risk. Exercises are included in chapters involving numerical computations for students′ practice and reinforcement of concepts.
Written by Harry Panjer, one of the foremost authorities in the world on risk modeling and its effects in business management, this is the first comprehensive book dedicated to the quantitative assessment of operational risk using the tools of probability, statistics, and actuarial science.
In addition to providing great detail of the many probabilistic and statistical methods used in operational risk, this book features:Ample exercises to further elucidate the concepts in the textDefinitive coverage of distribution functions and related conceptsModels for the size of lossesModels for frequency of lossAggregate loss modelingExtreme value modelingDependency modeling using copulasStatistical methods in model selection and calibration
Assuming no previous expertise in either operational risk terminology or in mathematical statistics, the text is designed for beginning graduate–level courses on risk and operational management or enterprise risk management. This book is also useful as a ref erence for practitioners in both enterprise risk management and risk and operational management.

Spis treści:
Preface.
Acknowledgments.
PART I: INTRODUCTIN TO OPERATIONAL RISK MODELING.
1. Operational Risk.
2. Basic Probability concepts.
3. Measures of Risk.
PART II: PROBABILISTIC TOOLS FOR OPERATIONAL RISK MODELING.
4. Models for the size of losses: Continuous distributions.
5. Models for the number of losses: Counting distributions.
6. Aggregate loss models.
7. Extreme value theory: The study of jumbo losses.
8. Multivariate models.
PART III: STATISTICAL METHODS FOR CALIBRATING MODELS OF OPERATIONAL RISK.
9. Review of mathematical statistics.
10. Parameter Estimation.
11. Estimation for discrete distributions.
12. Model selection.
13. Fitting extreme value models.
14. Fitting copula models.
Appendix A: Gamma and related functions.
Appendix B: Discretization of the severity distribution.
Appendix C: Nelder–Mead simplex Method.
References.
Index.

Nota biograficzna:
HARRY H. PANJER, PHD, FSA, FCIA, HonFIA, is Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, Ontario, Canada. He is past president of both the Canadian Institute of Actuaries and the Society of Actuaries, and he has published numerous articles and books on the subject of risk modeling over the years in the fields of finance and actuarial science.

Okładka tylna:
Discover how to optimize business strategies from both qualitative and quantitative points of view
Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is designed to provide risk analysts with a framework of the mathematical models and methods used in the measurement and modeling of oper ational risk in both the banking and insurance sectors.
Beginning with a foundation for operational risk modeling and a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical methods for calibrating models of operational risk. Exercises are included in chapters involving numerical computations for students′ practice and reinforcement of concepts.
Written by Harry Panjer, one of the foremost authorities in the world on risk modeling and its effects in business management, this is the first comprehensive book dedicated to the quantitative assessment of operational risk using the tools of probability, statistics, and actuarial science.
In addition to providing great detail of the many probabilistic and statistical methods used in operational risk, this book features:Ample exercises to further elucidate the concepts in the textDefinitive coverage of distribution functions and related conceptsModels for the size of lossesModels for frequency of lossAggregate loss modelingExtreme value modelingDependency modeling using copulasStatistical methods in model selection and calibration
Assuming no previous expertise in either operational risk terminology or in mathematical statistics, the text is designed for beginning graduate–level courses on risk and operational management or enterprise risk management. This book is also useful as a reference for practitioners in both enterprise risk management and risk and operational management.