scispace - formally typeset
Z

Zdeněk Zmeškal

Researcher at Technical University of Ostrava

Publications -  16
Citations -  294

Zdeněk Zmeškal is an academic researcher from Technical University of Ostrava. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 5, co-authored 11 publications receiving 263 citations.

Papers
More filters
Journal ArticleDOI

Application of the fuzzy–stochastic methodology to appraising the firm value as a European call option

TL;DR: In this paper, the authors proposed a fuzzy-stochastic model for the valuation of a firm equity as a European call option based on fuzzy numbers (T -numbers) and applied the Black-Scholes methodology.
Journal ArticleDOI

Generalised soft binomial American real option pricing model (fuzzy–stochastic approach)

TL;DR: Generalised hybrid fuzzy-stochastic binomial American real option model under fuzzy numbers (T-numbers), combination of risk and vagueness and Decomposition principle is proposed and described.
Journal ArticleDOI

Value at risk methodology under soft conditions approach (fuzzy-stochastic approach)

TL;DR: The paper describes methodology of dealing with financial modelling under uncertainty with risk and vagueness aspects by fuzzy-stochastic methodology and proposes an approach to modelling risks by the Value at Risk methodology under imprecise and soft conditions.
Journal ArticleDOI

Value at risk methodology of international index portfolio under soft conditions (fuzzy-stochastic approach)

TL;DR: The approach to modelling uncertainty of the international index portfolio by the value at risk (VAR) methodology under soft conditions by fuzzy-stochastic methodology is described in the paper and that methodology described could be considered to be generalised sensitivity analysis.
Posted Content

Application of the American real flexible switch options methodology : a generalized approach

TL;DR: In this paper, the authors deal with the inclusion of flexibility in financial decision-making under risk and apply a generalized approach and methodology of the flexibility modeling and valuation based on multiple choices and non-symmetrical switching costs under risk.