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Hazardous Forecasts and Crisis Scenario Generator
1st Edition - September 25, 2015
Authors: Arnaud Clément-Grandcourt, Hervé Fraysse
Hardback ISBN:9781785480287
9 7 8 - 1 - 7 8 5 4 8 - 0 2 8 - 7
eBook ISBN:9780081007778
9 7 8 - 0 - 0 8 - 1 0 0 7 7 7 - 8
This book presents a crisis scenario generator with black swans, black butterflies and worst case scenarios. It is the most useful scenario generator that can be used to… Read more
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This book presents a crisis scenario generator with black swans, black butterflies and worst case scenarios. It is the most useful scenario generator that can be used to manage assets in a crisis-prone period, offering more reliable values for Value at Risk (VaR), Conditional Value at Risk (CVaR) and Tail Value at Risk (TVaR).
Hazardous Forecasts and Crisis Scenario Generator questions how to manage assets when crisis probability increases, enabling you to adopt a process for using generators in order to be well prepared for handling crises.
Evaluates risk-oriented philosophy, forecast risk-oriented philosophy and its processes
Features scenario-building processes, with an emphasis on main and extreme scenarios
Discusses asset management processes using a generator methodology to avoid risk understatement and increase optimization.
Graduate students in master's or Ph.D. programs and practitioners in finance/banking; bankers and risk managers involved in capital allocation and portfolio management
Introduction
1: Risk-oriented Philosophy, Forecast-based Philosophy and Process
Abstract
1.1 A risk-oriented philosophy and a forecast-based philosophy
1.2 Rational expectations theory and the efficient market hypothesis
1.3 Irrational crisis behaviors make previous expectation hypotheses dangerous
1.4 How large is the rational hypothesis validity field?
1.5 Conclusion
2: Scenario Building Processes
Abstract
2.1 Most asset managers have only one or two scenarios in mind
2.2 Long-term scenarios and geopolitical surprises
2.3 Five-year scenarios
2.4 An efficient five-year scenario generator
2.5 Details on several scenarios
2.6 An efficient one-year scenario generator
3: How to Use These Scenarios for Asset Management?
Abstract
3.1 Philosophy of equity portfolio optimization
3.2 Which classic optimization processes are well fitted?
3.3 Risk aversion and utility function
3.4 Better fit processes for a crisis
3.5 Crisis process for equity portfolio optimization
3.6 Resilient bond portfolio building
3.7 Application
3.8 Conclusion
Conclusion
Appendix
A.1 Appendix
A.2 Growth rates
Bibliography
Abbreviations
Index
No. of pages: 164
Language: English
Published: September 25, 2015
Imprint: ISTE Press - Elsevier
Hardback ISBN: 9781785480287
eBook ISBN: 9780081007778
AC
Arnaud Clément-Grandcourt
Affiliations and expertise
Director and Manager of Diamant Bleu LFP Growth and Resilience, Paris, France