Refining the use of Monte Carlo techniques for risk analysis in project planning
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 36 (1999)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/FJDS20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/FJDS20|
When requesting a correction, please mention this item's handle: RePEc:taf:jdevst:v:36:y:1999:i:2:p:113-135. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.