scholarly journals Enhancing finite difference approximations for double barrier options: mesh optimization and repeated Richardson extrapolation

Author(s):  
Luca Vincenzo Ballestra

AbstractWe show that the performances of the finite difference method for double barrier option pricing can be strongly enhanced by applying both a repeated Richardson extrapolation technique and a mesh optimization procedure. In particular, first we construct a space mesh that is uniform and aligned with the discontinuity points of the solution being sought. This is accomplished by means of a suitable transformation of coordinates, which involves some parameters that are implicitly defined and whose existence and uniqueness is theoretically established. Then, a finite difference scheme employing repeated Richardson extrapolation in both space and time is developed. The overall approach exhibits high efficacy: barrier option prices can be computed with accuracy close to the machine precision in less than one second. The numerical simulations also reveal that the improvement over existing methods is due to the combination of the mesh optimization and the repeated Richardson extrapolation.

2008 ◽  
Vol 40 (1) ◽  
pp. 273-291 ◽  
Author(s):  
Bruno Casella ◽  
Gareth O. Roberts

We describe and implement a novel methodology for Monte Carlo simulation of one-dimensional killed diffusions. The proposed estimators represent an unbiased and efficient alternative to current Monte Carlo estimators based on discretization methods for the cases when the finite-dimensional distributions of the process are unknown. For barrier option pricing in finance, we design a suitable Monte Carlo algorithm both for the single barrier case and the double barrier case. Results from numerical investigations are in excellent agreement with the theoretical predictions.


2015 ◽  
Vol 70 (8) ◽  
pp. 2006-2013 ◽  
Author(s):  
R. Farnoosh ◽  
Amirhossein Sobhani ◽  
Hamidreza Rezazadeh ◽  
Mohammad Hossein Beheshti

2008 ◽  
Vol 40 (01) ◽  
pp. 273-291 ◽  
Author(s):  
Bruno Casella ◽  
Gareth O. Roberts

We describe and implement a novel methodology for Monte Carlo simulation of one-dimensional killed diffusions. The proposed estimators represent an unbiased and efficient alternative to current Monte Carlo estimators based on discretization methods for the cases when the finite-dimensional distributions of the process are unknown. For barrier option pricing in finance, we design a suitable Monte Carlo algorithm both for the single barrier case and the double barrier case. Results from numerical investigations are in excellent agreement with the theoretical predictions.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Y. L. Hsiao ◽  
S. Y. Shen ◽  
Andrew M. L. Wang

The pricing of the two-asset double barrier option is modeled as an initial-boundary value problem of the two-dimensional Black-Scholes partial differential equation. We use the hybrid finite different method to solve the problem. The hybrid method is a combination of the Laplace transform and a finite difference method. It is more efficient than a traditional finite difference method to obtain a solution without a step-by-step process. The method is implemented on a computer. Two numerical examples are calculated to verify the performance of the hybrid method. In our numerical examples, the convergence rate of the method is approximately two. We conclude that the method is efficient for pricing two-asset barrier options.


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