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Assessing Risk Assessment

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Cover of 'Assessing Risk Assessment'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Introduction to Part I
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    Chapter 3 Literature Synthesis, Theoretical Background and Research Focus
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    Chapter 4 Research Questions
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    Chapter 5 On an Adequate Concept of Risk and Systemic Risk in the Realm of Banking
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    Chapter 6 On the Relevance of Systemic Risks for Banks
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    Chapter 7 Dealing with Quantitative Risk Management in Banking as a Complex Systems Problem
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    Chapter 8 The Fundamental Inadequacy of Probability Theory as a Foundation for Modeling Systemic and Extreme Risk in a Banking Context
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    Chapter 9 Conclusion to Part I
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    Chapter 10 Introduction to Part II
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    Chapter 11 The Critical Turn: The Renaissance of Practical Wisdom
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    Chapter 12 Scenario Planning in a Nutshell and its Role in Risk Management in Banking
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    Chapter 13 Strengths and Weaknesses of Scenario Planning as a Risk Management Tool
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    Chapter 14 Deriving Lessons for Rethinking the Approach to Assessing Extreme and Systemic Risks
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    Chapter 15 Introduction to Part III
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    Chapter 16 Theoretical Foundations of a Logic-Based Risk Modeling (LBR) Approach
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    Chapter 17 Case Study: LTCM and Extreme Risk
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    Chapter 18 Managerial Implications
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    Chapter 19 Scales of Measurement and Qualitative Probabilities
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    Chapter 20 Model Validation
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    Chapter 21 Introduction to Part IV as Overall Conclusion
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    Chapter 22 Escaping the Traps for Logicians: Towards Decision- Making Competency in Risk Management
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    Chapter 23 Final Remarks and a Path for Future Research
Attention for Chapter 13: Strengths and Weaknesses of Scenario Planning as a Risk Management Tool
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Chapter title
Strengths and Weaknesses of Scenario Planning as a Risk Management Tool
Chapter number 13
Book title
Assessing Risk Assessment
Published by
Springer Gabler, Wiesbaden, January 2017
DOI 10.1007/978-3-658-20032-9_13
Book ISBNs
978-3-65-820031-2, 978-3-65-820032-9
Authors

Christian Hugo Hoffmann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 38%
Student > Bachelor 2 13%
Student > Postgraduate 2 13%
Student > Ph. D. Student 1 6%
Unknown 5 31%
Readers by discipline Count As %
Business, Management and Accounting 4 25%
Arts and Humanities 1 6%
Environmental Science 1 6%
Philosophy 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 3 19%
Unknown 5 31%