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Scenario Analysis in Risk Management

Theory and Practice in Finance

  • Book
  • © 2016

Overview

  • Proposes different solutions to address scenario analysis issues in financial institutions

  • Provides tutorials to help readers implement these solutions

  • Applies the solutions to stress testing scenarios

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Table of contents (11 chapters)

Keywords

About this book

This book focuses on identifying and explaining the key determinants of scenario analysis in the context of operational risk, stress testing and systemic risk, as well as management and planning. Each chapter presents alternative solutions to perform reliable scenario analysis. The author also provides technical notes and describes applications and key characteristics for each of the solutions. In addition, the book includes a section to help practitioners interpret the results and adjust them to real-life management activities. Methodologies, including those derived from consensus strategies, extreme value theory, Bayesian networks, Neural networks, Fault Trees, frequentist statistics and data mining are introduced in such a way as to make them understandable to readers without a quantitative background. Particular emphasis is given to the added value of the implementation of these methodologies. 

Authors and Affiliations

  • Global Head of Research and Innovation - Risk Methodology, Grupo Santander, Madrid, Spain

    Bertrand K. Hassani

About the author

Dr. Bertrand Hassani is Global Head of Research and Innovation - Risk Methodology, Grupo Santander, and Associate Researcher Université Paris 1 Panthéon Sorbonne

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