A valuable reference for understanding operational risk
Operational Risk with Excel and VBA is a practical guide that only discusses statistical methods that have been shown to work in an operational risk management context. It brings together a wide variety of statistical methods and models that have proven their worth, and contains a concise treatment of the topic. This book provides readers with clear explanations, relevant information, and comprehensive examples of statistical methods for operational risk management in the real world.
Nigel Da Costa Lewis (Stamford, CT) is president and CEO of Stat Metrics, a quantitative research boutique. He received his Ph D from Cambridge University.
About the author
NIGEL DA COSTA LEWIS, PHD, is the President of the
quantitative research boutique Stat Metrics, 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 Ph D 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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