In this study, a comparative analysis of numerical and approximation methods for pricing American options is performed. Binomial and finite difference approximations are discussed; furthermore, Roll-Geske-Whaley, Barone-Adesi and Whaley and Bjerksund-Stensland analytical approximations as well as the least-squares Monte Carlo method of Longstaff and Schwartz are presented. Applicability and efficiency in almost all circumstances, numerical solutions of the corresponding free boundary problem is emphasized. Methods used in pricing American options are also compared on dividend and non-dividend paying assets; and their pros and cons are discussed along with numerical experiments
In the finance world, option pricing techniques have become an appealing topic among researchers,...
Numerical methods like binomial and trinomial trees and finite difference methods can be used to pri...
In this project we discuss Least Square Monte-Carlo methods for valuing American options on bonds. W...
Abstract In this study, a comparative analysis of numerical and approximation methods for pricing Am...
Pricing American put options on dividend-paying stocks has largely been ignored in the option pricin...
This paper implements and compares eight American option valuation methods: binomial, trinomial, exp...
This thesis reviewed a number of Monte Carlo based methods for pricing American options. The least-s...
American options are the most commonly traded financial derivatives in the market. Pricing these opt...
American options are financial contracts that allow exercise at any time until ex- piration. While t...
The aim of this paper is to present simulation methods for the pricing of American financial instru...
© 2015 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. The early exercise opportun...
An analytic solution does not exist for evaluating the American put option. Usually, the value is ob...
Numerical methods like binomial and trinomial trees and finite difference methods can be used to pri...
In the finance world, option pricing techniques have become an appealing topic among researchers,...
This thesis deals with American option valuation. We use some numerical methods for that purpose. Th...
In the finance world, option pricing techniques have become an appealing topic among researchers,...
Numerical methods like binomial and trinomial trees and finite difference methods can be used to pri...
In this project we discuss Least Square Monte-Carlo methods for valuing American options on bonds. W...
Abstract In this study, a comparative analysis of numerical and approximation methods for pricing Am...
Pricing American put options on dividend-paying stocks has largely been ignored in the option pricin...
This paper implements and compares eight American option valuation methods: binomial, trinomial, exp...
This thesis reviewed a number of Monte Carlo based methods for pricing American options. The least-s...
American options are the most commonly traded financial derivatives in the market. Pricing these opt...
American options are financial contracts that allow exercise at any time until ex- piration. While t...
The aim of this paper is to present simulation methods for the pricing of American financial instru...
© 2015 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. The early exercise opportun...
An analytic solution does not exist for evaluating the American put option. Usually, the value is ob...
Numerical methods like binomial and trinomial trees and finite difference methods can be used to pri...
In the finance world, option pricing techniques have become an appealing topic among researchers,...
This thesis deals with American option valuation. We use some numerical methods for that purpose. Th...
In the finance world, option pricing techniques have become an appealing topic among researchers,...
Numerical methods like binomial and trinomial trees and finite difference methods can be used to pri...
In this project we discuss Least Square Monte-Carlo methods for valuing American options on bonds. W...