Modelling the sequential real options under uncertainty and vagueness (fuzzy-stochastic approach)

被引:0
|
作者
Zmeskal, Zdenek [1 ]
机构
[1] VSB Tech Univ Ostrava, Fac Econ, Dept Finance, Ostrava, Czech Republic
关键词
Real options; Switch option; Discrete Binomial Model; Stochastic Dynamic Programming; Sensitivity analysis; Fuzzy-stochastic model; Fuzzy number; FIRM VALUE; METHODOLOGY; VALUATION;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The basic intention of the paper is to propose and verify the sequential real options model under vagueness conditions. The sequential real options are specific real option type. Sequential options are special type of generalised switch option. The sequential problems could be decomposed and solved as several subsequent stages. And subsequent value is underlying asset of the computed stage. Therefore, the sequential option model is compound options on the stages values. The input data uncertainty and vagueness in a form of fuzzy-stochastic distribution function is considered. Sequential fuzzy-stochastic model is proposed. Illustrative example is presented.
引用
收藏
页码:1027 / 1032
页数:6
相关论文
共 50 条
  • [1] Generalised soft multi-mode real options model (fuzzy-stochastic approach)
    Zmeškal, Zdeněk
    Dluhošová, Dana
    Gurný, Petr
    Kresta, Aleš
    [J]. Expert Systems with Applications, 2022, 192
  • [2] Generalised soft multi-mode real options model (fuzzy-stochastic approach)
    Zmeskal, Zdenek
    Dluhosova, Dana
    Gurny, Petr
    Kresta, Ales
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 192
  • [3] Investment Appraisal under Uncertainty - A Fuzzy Real Options Approach
    Liao, Shu-Hsien
    Ho, Shiu-Hwei
    [J]. NEURAL INFORMATION PROCESSING: MODELS AND APPLICATIONS, PT II, 2010, 6444 : 716 - 726
  • [4] An interval-parameter fuzzy-stochastic programming approach for air quality management under uncertainty
    Lu, Hong-wei
    Huang, Guohe H.
    Liu, Lei
    He, Li
    [J]. ENVIRONMENTAL ENGINEERING SCIENCE, 2008, 25 (06) : 895 - 909
  • [5] Energy and environmental systems planning under uncertainty-An inexact fuzzy-stochastic programming approach
    Li, Y. F.
    Li, Y. P.
    Huang, G. H.
    Chen, X.
    [J]. APPLIED ENERGY, 2010, 87 (10) : 3189 - 3211
  • [6] Conditional Value at Risk Methodology under Fuzzy-Stochastic Approach
    Tang, Shao-fang
    He, Ying-yu
    [J]. INTELLIGENT COMPUTING THEORIES, 2013, 7995 : 163 - 172
  • [7] Credit Risk under soft condition (fuzzy-stochastic approach)
    Zmeskal, Zdenek
    [J]. PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2004, 2004, : 357 - 364
  • [9] Value at risk methodology under soft conditions approach (fuzzy-stochastic approach)
    Zmeskal, Z
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2005, 161 (02) : 337 - 347
  • [10] Soft Bond Game Options Valuation in Discrete Time Using a Fuzzy-Stochastic Approach
    Zdeněk Zmeškal
    Dana Dluhošová
    Petr Gurný
    Haochen Guo
    [J]. International Journal of Fuzzy Systems, 2022, 24 : 2215 - 2228