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Risk Analysis

  • Antonio BorghesiEmail author
  • Barbara Gaudenzi
Chapter
  • 6.2k Downloads
Part of the Perspectives in Business Culture book series (PEPIBC)

Abstract

Most organizations are aware that risks do not appear on a linear basis and for this reason risk cannot be identified and measured in this way. Assessing and understanding the interrelation of risk and their associated correlated impact is the real challenge. These complex relationships require a different set of tools. Through the use of tools to simulate multiple risk scenarios and correlating risk interdependencies the organization can begin to build an effective map of their risk landscape. The goal is to understand the cumulative impact of risks on performance and value in order to select the appropriate mix between risk retention and risk treatments.

Keywords

Risk Analysis Performance Measurement System Monetary Loss Fault Tree Analysis Continuous Probability Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Dossi A, Patelli L (2010) You learn from what you measure: financial and non-financial performance measures in multinational companies. Long Range Plan 43(2010):498–526CrossRefGoogle Scholar
  2. Hassett MJ (1999) Probability for risk management. Actex Publications, WinstedGoogle Scholar
  3. Jorion P (2001) Value at risk: the new benchmark for managing financial risk. McGraw-Hill, New YorkGoogle Scholar
  4. Neely A, Adams CA (2000) Perspective on performance: the performance prism, Centre for Business Performance-Cranfield University, Cranfield-BedfordGoogle Scholar
  5. Neely A, Bourne M (2000) Why measurement initiatives fail. Meas Bus Excell 4(4):3–7CrossRefGoogle Scholar
  6. Pawitan Y (2001) In all likelihood: statistical modeling and inference using likelihood. Oxford University Press, OxfordGoogle Scholar
  7. Wilson R (2001) Risk-benefit analysis. Harvard Centre for Risk Analysis, CambridgeGoogle Scholar

Copyright information

© Springer-Verlag Italia 2013

Authors and Affiliations

  1. 1.Department of Business AdministrationUniversity of VeronaVeronaItaly

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