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...
This paper sets up a one period model for pricing an option with a fuzzy payoff. The option is writt...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...
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...
Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this ...
AbstractIn this paper we present an application of a new method of constructing fuzzy estimators for...
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 main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
membership function. Option pricing is a tool that investors often use for the purpose of arbitrage ...
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...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
This paper sets up a one period model for pricing an option with a fuzzy payoff. The option is writt...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...
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...
Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this ...
AbstractIn this paper we present an application of a new method of constructing fuzzy estimators for...
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 main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
membership function. Option pricing is a tool that investors often use for the purpose of arbitrage ...
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...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
This paper sets up a one period model for pricing an option with a fuzzy payoff. The option is writt...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...