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Titlebook: Scenario Analysis in Risk Management; Theory and Practice Bertrand K. Hassani Book 2016 Springer International Publishing Switzerland 2016

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发表于 2025-3-21 19:45:07 | 显示全部楼层 |阅读模式
书目名称Scenario Analysis in Risk Management
副标题Theory and Practice
编辑Bertrand K. Hassani
视频video
概述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 scenario
图书封面Titlebook: Scenario Analysis in Risk Management; Theory and Practice  Bertrand K. Hassani Book 2016 Springer International Publishing Switzerland 2016
描述.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. .
出版日期Book 2016
关键词Bayesian Networks; Risk Analysis; Risk Framework; Risk Measurement; Scenario Analysis; Stress Testing
版次1
doihttps://doi.org/10.1007/978-3-319-25056-4
isbn_softcover978-3-319-79727-4
isbn_ebook978-3-319-25056-4
copyrightSpringer International Publishing Switzerland 2016
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Fault Trees and Variations,y logic (This methodology is not a proper factor model, but this one could easily be combined with the other strategies.) We show how to build them, and how to evaluate the risk from them. We also discuss the pros and cons.
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https://doi.org/10.1007/978-3-319-25056-4Bayesian Networks; Risk Analysis; Risk Framework; Risk Measurement; Scenario Analysis; Stress Testing
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978-3-319-79727-4Springer International Publishing Switzerland 2016
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The Information Set: Feeding the Scenarios,In this chapter we discuss the information should be processed and how data should be dealt with to obtain the most reliable scenario analysis process. We present notions, concepts and methodologies coming from the data science world.
发表于 2025-3-23 07:04:49 | 显示全部楼层
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