AbstractA binary option is a type of option where the payout is either fixed after the underlying stock exceeds the predetermined threshold (or strike price) or is nothing at all. Traditional option pricing models determine the option’s expected return without taking into account the uncertainty associated with the underlying asset price at maturity. Fuzzy set theory can be used to explicitly account for such uncertainty. Here we use fuzzy set theory to price binary options. Specifically, we study binary options by fuzzifying the maturity value of the stock price using trapezoidal, parabolic and adaptive fuzzy numbers
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractIn this paper, we consider moment properties for a class of quadratic adaptive fuzzy numbers...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractA binary option is a type of option where the payout is either fixed after the underlying st...
Copyright © 2013 Srimantoorao S. Appadoo, Aerambamoorthy Thavaneswaran. This is an open access artic...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
AbstractIn this paper we present an application of a new method of constructing fuzzy estimators for...
The aim f this paper is to price an American style option when there is uncertainty on the underlyin...
The aim f this paper is to price an American style option when there is uncertainty on the underlyin...
Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this ...
The main motivation in using fuzzy numbers in finance stays in the need of modeling uncertainty and ...
The main motivation in using fuzzy numbers in finance stays in the need of modeling uncertainty and ...
The main motivation in using fuzzy numbers in finance stays in the need of modeling uncertainty and ...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractIn this paper, we consider moment properties for a class of quadratic adaptive fuzzy numbers...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractA binary option is a type of option where the payout is either fixed after the underlying st...
Copyright © 2013 Srimantoorao S. Appadoo, Aerambamoorthy Thavaneswaran. This is an open access artic...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
AbstractIn this paper we present an application of a new method of constructing fuzzy estimators for...
The aim f this paper is to price an American style option when there is uncertainty on the underlyin...
The aim f this paper is to price an American style option when there is uncertainty on the underlyin...
Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this ...
The main motivation in using fuzzy numbers in finance stays in the need of modeling uncertainty and ...
The main motivation in using fuzzy numbers in finance stays in the need of modeling uncertainty and ...
The main motivation in using fuzzy numbers in finance stays in the need of modeling uncertainty and ...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractIn this paper, we consider moment properties for a class of quadratic adaptive fuzzy numbers...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...