Utvidet returrett til 31. januar 2025
Om Hazardous Forecasts and Crisis Scenario Generator

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 processesFeatures scenario-building processes, with an emphasis on main and extreme scenariosDiscusses asset management processes using a generator methodology to avoid risk understatement and increase optimization.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781785480287
  • Bindende:
  • Hardback
  • Sider:
  • 164
  • Utgitt:
  • 25. september 2015
  • Dimensjoner:
  • 161x238x16 mm.
  • Vekt:
  • 390 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 19. desember 2024

Beskrivelse av Hazardous Forecasts and Crisis Scenario Generator

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 processesFeatures scenario-building processes, with an emphasis on main and extreme scenariosDiscusses asset management processes using a generator methodology to avoid risk understatement and increase optimization.

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