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Refining the use of Monte Carlo techniques for risk analysis in project planning


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  • K. G. Balcombe
  • L. E. D. Smith


Monte Carlo approaches to risk analysis in project appraisal are re-examined. Limitations with conventional methods are identified, and refinements suggested that deal with increasing uncertainty about variables throughout the project life, along with correlations and cycles among variables. These are illustrated with an example. Emphasis is placed on a practical approach that minimises demands on the appraiser's prior knowledge. Modelling the objective function of an investment appraisal autoregressively enables complete distributional mapping of project outcome, given specification by the appraiser of 'likely bounds' for the value of key parameters in the first and last periods of the project life plus an approximate correlation matrix.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Journal of Development Studies.

Volume (Year): 36 (1999)
Issue (Month): 2 ()
Pages: 113-135

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Handle: RePEc:taf:jdevst:v:36:y:1999:i:2:p:113-135

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Cited by:
  1. Jamie Morrison & Kelvin Balcombe, 2002. "Policy analysis matrices: beyond simple sensitivity analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(4), pages 459-471.
  2. Glenn Jenkins & Chun-Yan Kuo & Arnold C. Harberger, 2011. "Cost-Benefit Analysis for Investment Decisions: Chapter 6 (Dealing With Uncertainty and Risk in Investment Appraisal)," Development Discussion Papers 2011-06, JDI Executive Programs.
  3. Glenn Jenkins & ANDREY KLEVCHUK, 2002. "Investment Appraisal of an Animal Feed Plant in South Africa," Development Discussion Papers 2002-10, JDI Executive Programs.


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