Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation

For a long time, incorporating risk management into the investment project plan has been a popular method in order to mitigate a risk of the investment. However, the problem still exists in risk analysis, such as the difficulties to involve the non-financial risks in an economic model for evaluating...

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Main Author: Hamundu, Ferdinand Murni
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.usm.my/43277/
http://eprints.usm.my/43277/1/FERDINAND%20MURNI%20HAMUNDU.pdf
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author Hamundu, Ferdinand Murni
author_facet Hamundu, Ferdinand Murni
author_sort Hamundu, Ferdinand Murni
building USM Institutional Repository
collection Online Access
description For a long time, incorporating risk management into the investment project plan has been a popular method in order to mitigate a risk of the investment. However, the problem still exists in risk analysis, such as the difficulties to involve the non-financial risks in an economic model for evaluating the investment project. One of the solutions for modeling of imprecise and the qualitative knowledge is employing fuzzy logic. Therefore, this thesis proposes Fuzzy-Monte Carlo Simulation that is able to bridging the financial and non-financial risk for estimating the probability of Cumulative Cash Flow (CCF), Net Present Value (NPV) and Internal Rate of Return (IRR).
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institution Universiti Sains Malaysia
institution_category Local University
language English
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publishDate 2011
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spelling usm-432772019-04-12T05:26:31Z http://eprints.usm.my/43277/ Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation Hamundu, Ferdinand Murni QA75.5-76.95 Electronic computers. Computer science For a long time, incorporating risk management into the investment project plan has been a popular method in order to mitigate a risk of the investment. However, the problem still exists in risk analysis, such as the difficulties to involve the non-financial risks in an economic model for evaluating the investment project. One of the solutions for modeling of imprecise and the qualitative knowledge is employing fuzzy logic. Therefore, this thesis proposes Fuzzy-Monte Carlo Simulation that is able to bridging the financial and non-financial risk for estimating the probability of Cumulative Cash Flow (CCF), Net Present Value (NPV) and Internal Rate of Return (IRR). 2011-08 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43277/1/FERDINAND%20MURNI%20HAMUNDU.pdf Hamundu, Ferdinand Murni (2011) Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation. Masters thesis, Universiti Sains Malaysia.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Hamundu, Ferdinand Murni
Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation
title Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation
title_full Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation
title_fullStr Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation
title_full_unstemmed Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation
title_short Fuzzy-Monte Carlo Simulation For Risk Analysis In Investment Project Evaluation
title_sort fuzzy-monte carlo simulation for risk analysis in investment project evaluation
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/43277/
http://eprints.usm.my/43277/1/FERDINAND%20MURNI%20HAMUNDU.pdf