Estimation of Long-Term Projects in Terms of Uncertainty of Inputs

被引:0
作者
Haskova, Simona [1 ]
机构
[1] Inst Technol & Business, Sch Expertness & Valuat, Okruzni 517-10, Ceske Budejovice, Czech Republic
来源
37TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2019 | 2019年
关键词
Fuzzy logic; input uncertainty; internal profitability; interval analyses; INCENTIVES; IRR;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
One of the criteria underlying the decision concerning acceptance or rejection of a project is the internal rate of return (IRR). The project is acceptable if the discount rate applied is lower than the IRR. We focus on the project of innovative commodity production whose consumption is of interest to the government. The need for a large initial investment and the high production costs do not stimulate a sufficient demand to guarantee an adequate IRR. Therefore, such a project is subsidized. Given the ambiguity about the amount of investment, future market price and demand, only the intervals of these values can be estimated. Concurrently, any relevant reason to prefer a particular value does not exist. We consider this situation as uncertain on the input side of the evaluation process, with the IRR on the output side being consequently uncertain. A tool to answer the question of whether the system of subsidies is adequate is the fuzzy approach. The electric car production project analysis shows that this approach provides superior information, which helps the investor e.g., to assess the degree of competitiveness of a project given to the alternative yield rate.
引用
收藏
页码:115 / 120
页数:6
相关论文
共 15 条
[1]   From fuzzy logic to fuzzy mathematics: A methodological manifesto [J].
Behounek, L ;
Cintula, P .
FUZZY SETS AND SYSTEMS, 2006, 157 (05) :642-646
[2]  
Brealey R.A., 2011, FUNDAMENTALS CORPORA, V7th
[3]   The IRR of a project with many potential outcomes [J].
Danielson, Morris G. .
ENGINEERING ECONOMIST, 2016, 61 (01) :44-56
[4]  
Elkjaer M., 2000, International Journal of Project Management, V18, P139, DOI 10.1016/S0263-7863(98)00078-7
[5]  
Fiala P., 2015, INT J MULTICRITERIA, V5, P274
[6]  
Hasek R, 2012, N AM GEOGEBRA J, V1
[7]  
Hasková S, 2017, MATHEMATICAL METHODS IN ECONOMICS (MME 2017), P213
[8]   Evolving Fuzzy-GARCH Approach for Financial Volatility Modeling and Forecasting [J].
Maciel, Leandro ;
Gomide, Fernando ;
Ballini, Rosangela .
COMPUTATIONAL ECONOMICS, 2016, 48 (03) :379-398
[9]   Some iterative methods for solving a system of nonlinear equations [J].
Noor, Muhammad Aslam ;
Waseem, Muhammad .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2009, 57 (01) :101-106
[10]   EDUCATION BRIEFING The internal rate of return (IRR): projections, benchmarks and pitfalls [J].
Patrick, Michael ;
French, Nick .
JOURNAL OF PROPERTY INVESTMENT & FINANCE, 2016, 34 (06) :664-669