DocumentCode
2515395
Title
Mining Investment Risk Analysis Based on Monte Carlo Simulation
Author
Wei, Jiang ; Jian, Zhang ; Jianglan, Li
Author_Institution
Sch. of Inf. & Safety Eng., Zhongnan Univ. of Econ. & Law, Wuhan, China
fYear
2011
fDate
5-6 Nov. 2011
Firstpage
72
Lastpage
75
Abstract
When investing mining projects, we often cannot make an accurate judgment of the investing project´s risk degree because there are too many influential risk factors, with different kinds of uncertainties at the same time. To solve this problem, Monte Carlo simulation method is an effective way. It can be accomplished by computer software with enough times of sampling process. The analysis of the output can help judge the degree of risk. In this paper, the Monte Carlo simulation was performed in computer and applied to an iron ore mine investment. Base on the simulating results, this project´s investing risk was analyzed. We illustrated the meanings of the simulation results and also provided suggestions to the investors.
Keywords
Monte Carlo methods; investment; risk analysis; Monte Carlo simulation; computer software; investment risk analysis mining; iron ore mine investment; sampling process; Economics; Educational institutions; Indexes; Investments; Monte Carlo methods; Risk analysis; Time frequency analysis; Mining investment; Monte Carlo; Risk analysis; Risk identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government (ICMeCG), 2011 Fifth International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-4577-1659-1
Type
conf
DOI
10.1109/ICMeCG.2011.64
Filename
6092635
Link To Document