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> Quantitative Enterprise Risk Management

Quantitative Enterprise Risk Management


Mary R. Hardy, University of Waterloo, Ontario, David Saunders, University of Waterloo, Ontario
Published 2022


This well-balanced introduction to enterprise risk management integrates quantitative and qualitative approaches and motivates key mathematical and statistical methods with abundant real-world cases - both successes and failures. Worked examples and end-of-chapter exercises support readers in consolidating what they learn. The mathematical level, which is suitable for graduate and senior undergraduate students in quantitative programs, is pitched to give readers a solid understanding of the concepts and principles involved, without diving too deeply into more complex theory. To reveal the…

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Key features

  • Many exercises of several different types - qualitative discussions, mathematical calculations, computational exercises on real data sets - help readers to develop a full skill set
  • Detailed descriptions of risk management successes and failures in the real world reinforce the connection between strong technical skills and financial and economic aims
  • Coverage of topics missing from most risk management texts - applications of behavioural finance to risk management, capital allocation, performance measurement - creates a valuable resource

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