Valuation of derivatives is one of the most discussed topics of scientific treatises. In this paper we assess the likely impact of uncertainty on the price volatility of derivative. Results are presented on the example of the European digital option. It has been shown non-trivial dependence of the span of the confidence interval of the model parameters
W artykule zaprezentowano modyfikację klasycznego modelu Blacka- -Scholesa. Uwzględniono istnienie efektu pamięci w finansowych szeregach czasowych i wprowadzono do modelu wyceny instrumentów finansowych wykładnik Hursta oraz funkcję Höldera. Niniejszy artykuł składa się z części teoretycznej, w której przybliżono założenia i postać teoretyczną klasycznego modelu Blacka-Scholesa oraz omówiono jego wybrane modyfikacje, a także z części aplikacyjnej, w której ukazano efektywność uzyskanych rozwiązań.
EN
In the article we have presented the modification of a classic Black-Scholes model. We have considered the existence of memory effect in financial time series and introduced valuations of financial instruments, Hurst exponent and Hölder function into the model. The article consists of the theoretical part, in which we have presented the assumptions and the theoretical form of a classic Black-Scholes model and discussed its selected modifications, as well as the application part, which illustrates the effectiveness of the obtained solutions.
This paper presents a procedure for determining the value at risk ranges covering European options with a given level of confidence. Interval forecast VaR takes into account the uncertainty associated with the estimation error of the model parameters used. Option pricing model adapted Black-Sholes, and studies based on simulations.
This article takes up validity of the use (on the Polish capital market) of stochastic models which take into account extreme observations. In the comparative analysis aside from the SV been considered models whose structure can better describe the appearance of extreme observations.
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