MONTE CARLO SIMULATION – A QUALITATIVE METHOD ANALYSIS AND EVALUATION OF THE COMPANY'S PERFORMANCE AND RISKS
Ciprian Apostol
Additional contact information
Ciprian Apostol: "Al.I. Cuza" University of Iasi
Theoretical and Applied Economics, 2009, vol. 05(534)(supplement), issue 05(534)(supplement), 227-231
Abstract:
Monte Carlo simulation is used with predilection when multidimensional problems are discussed (eg, the outcome depends on more variables or risk factors). The method was invented by American scientists in 1940 when it was used to simulate the trajectory of a neutron in uranium or plutonium. Monte Carlo method, the real is replaced by an artificial process. To obtain accurate results, it is essential that the random variables generated during the simulation experiments to faithfully reproduce the real random variable. Monte Carlo simulation is one of the best methods of risk analysis.
Keywords: performance; risk; , simulation; analysis; company. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
Downloads: (external link)
http://store.ectap.ro/suplimente/Simpozion-29-31.05.2009_en.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:agr:journl:v:05(534)(supplement):y:2009:i:05(534)(supplement):p:227-231
Access Statistics for this article
Theoretical and Applied Economics is currently edited by Mircea Dinu
More articles in Theoretical and Applied Economics from Asociatia Generala a Economistilor din Romania / Editura Economica Contact information at EDIRC.
Bibliographic data for series maintained by Mircea Dinu ().