Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this paper, fuzzy sets theory is applied to model the imprecise input parameters (interest rate and volatility). We present the fuzzy price of compound option by fuzzing the interest and volatility in Geske’s compound option pricing formula. For each α, the α-level set of fuzzy prices is obtained according to the fuzzy arithmetics and the definition of fuzzy-valued function. We apply a defuzzification method based on crisp possibilistic mean values of the fuzzy interest rate and fuzzy volatility to obtain the crisp possibilistic mean value of compound option price. Finally, we present a numerical analysis to illustrate the compound option pricin...
none4In this paper we show that the so called fuzzy--stochastic approach in financial models is an e...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
membership function. Option pricing is a tool that investors often use for the purpose of arbitrage ...
Copyright © 2013 Srimantoorao S. Appadoo, Aerambamoorthy Thavaneswaran. This is an open access artic...
AbstractA binary option is a type of option where the payout is either fixed after the underlying st...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...
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 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 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 ...
AbstractIn this paper we present an application of a new method of constructing fuzzy estimators for...
This study applies fuzzy set theory to the vulnerable Black-Scholes (1973) or Merton (1973) formula....
This paper is devoted to propose a random fuzzy methodology in order to value R&D investments co...
none4In this paper we show that the so called fuzzy--stochastic approach in financial models is an e...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...
membership function. Option pricing is a tool that investors often use for the purpose of arbitrage ...
Copyright © 2013 Srimantoorao S. Appadoo, Aerambamoorthy Thavaneswaran. This is an open access artic...
AbstractA binary option is a type of option where the payout is either fixed after the underlying st...
The aim of this paper is to review the literature that has addressed direct and inverse problems in ...
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 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 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 ...
AbstractIn this paper we present an application of a new method of constructing fuzzy estimators for...
This study applies fuzzy set theory to the vulnerable Black-Scholes (1973) or Merton (1973) formula....
This paper is devoted to propose a random fuzzy methodology in order to value R&D investments co...
none4In this paper we show that the so called fuzzy--stochastic approach in financial models is an e...
AbstractThe main motivation in using fuzzy numbers in finance lies in the need for modelling the unc...
The main motivation in using fuzzy numbers in finance lies in the need for modelling the uncertainty...