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Operational Risk with Excel and VBA: Applied Statistical Methods for Risk Management (Wiley Finance)

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Praise For Operational Risk with Excel and VBA

"Dr. Nigel Da Costa Lewis has produced the most exciting volume ever on operational risk modeling. It is a must for students, practitioners, risk managers, and senior executives. . . I feel this work is the first step in revolutionizing the discipline. Other books in this field tell you in theory, there is little difference between theory and practice. Dr. Lewis’s work tells you what we all know, in practice, there is."
–Dr. O.F. Agbaje
School of Informatics
City University, London

"Dr. Nigel Da Costa Lewis has raised the bar for books on operational risk. His book provides a bridge from the theoretical to the practical, and clears the fog between the buzzwords of operational risk management and the realities of useful modeling tools. The inclusion of numerous concrete examples and solutions will make a broad range of modeling techniques accessible to students of management science. Without a doubt, Dr. Lewis has put quality meat on the bare bones of this important management discipline. He is to be applauded for this magnificent effort."
–Prof. Bernard Beecher
Department of Mathematics
City University, New York

"Dr. Nigel Da Costa Lewis has produced one of the most exciting and classic reference volumes on operational risk. As only great teachers can, Dr. Lewis makes even the most obtuse mathematics seem easy and intuitive . . . This book is a must for students, practitioners, and anybody interested in this important subject. In short, it is the most comprehensive and up-to-date textbook on operational risk modeling that I have seen."
–Dr. Terence Yiu Wa Chow
Department of Mathematics, University College London
University of London

About the Author

NIGEL DA COSTA LEWIS, PHD, is the President of the quantitative research boutique StatMetrics, offering cutting edge quantitative solutions to a sophisticated institutional client base. Dr. Lewis has many years’ work experience as a quantitative analyst and statistician in London, on Wall Street, and in academia. His work in quantitative risk management dates back to the early 1990s, when he developed stress-testing methodologies for portfolios of derivative securities for Legal & General Investments. He is the author of a number of books on risk management and quantitative methods and a regular speaker at international conferences. His current research work specializes in the application of computational-intensive quantitative methods to problems in risk management. He received a PhD in statistics from the University of Cambridge, and master’s degrees in statistics, finance, economics, and computer science, all from the University of London.

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