A Monte Carlo Simulation Approach in Assessing Risk and Uncertainty Involved in Estimating the Expected Earnings of an Organization: A Case Study in Nigeria

A Monte Carlo Simulation Approach in Assessing Risk and Uncertainty Involved in Estimating the Expected Earnings of an Organization: A Case Study in Nigeria

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This work provides a simulation-based approach of assessing the risk and uncertainty involved in estimating the expected earnings of an organization. The procedure involves using Monte Carlo Simulation (MCS) in creating various possible outcomes and scenarios. The MCS is found to be more effective than single point estimates or guesswork. Hence, it is an efficient and useful tool in risk...
 
Published at American Journal of Computational and Applied Mathematics
Volume 4
Issue 5
Pages 161-166
Published in 2014
 
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HI. Okagbue, SO. Edeki, AA Opanuga
Okagbue Hilary Izuchukwu » Hilary Izuchukwu Okagbue Obtained his B.Tech, M.Sc and Ph.D. degrees in Industrial Mathematics and Statistics from the Federal University of Technology, Owerri, University of Lagos, Covenant University in 2007, 2010 and 2019 respectively. His research interests include Data Analysis, Mathematical Statistics, Mathematical Cryptography and analysis of patterns in number theory. view full profile
Okagbue Hilary Izuchukwu
 
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