Mining Investment Risk Analysis Based on Monte Carlo Simulation

Author(s):  
Jiang Wei ◽  
Zhang Jian ◽  
Li Jianglan
2021 ◽  
Author(s):  
Agostino Bruzzone ◽  
Kirill Sinelshchikov ◽  
Federico Tarone ◽  
Federica Grosso

2015 ◽  
Vol 11 (4) ◽  
pp. 63-78 ◽  
Author(s):  
Seyed Mojtaba Hosseini Bamakan ◽  
Mohammad Dehghanimohammadabadi

In recent decades, information has become a critical asset to various organizations, hence identifying and preventing the loss of information are becoming competitive advantages for firms. Many international standards have been developed to help organizations to maintain their competitiveness by applying risk assessment and information security management system and keep risk level as low as possible. This study aims to propose a new quantitative risk analysis and assessment methodology which is based on AHP and Monte Carlo simulation. In this method, AHP is used to create favorable weights for Confidentiality, Integrity and Availability (CIA) as security characteristic of any information asset. To deal with the uncertain nature of vulnerabilities and threats, Monte Carlo simulation is utilized to handle the stochastic nature of risk assessment by taking into account multiple judges' opinions. The proposed methodology is suitable for organizations that require risk analysis to implement ISO/IEC 27001 standard.


2011 ◽  
Vol 282-283 ◽  
pp. 342-345
Author(s):  
Bo Zhang

Advantages and disad vantages of every kind of risk decision methods are analysed in this paper with a risk controlling form. The method of engineering project investment risk decision synthesized by CIM model and Monte-Carlo simulation is proved feasible and effective by the conclusion of the simulation case of certain port with the software crystal ball7.22.


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