Numerical valuation of options with jumps in the underlying
By Ariel Almendral, Cornelis W. Oosterlee. 2005
170 citations recorded by the source corpus.
Subfields: Computational Mechanics, Finance, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/de82e9a0171724d28f998b7a775f4ce67e9b9d53
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
In Finance
- Peter A. Forsyth
- Kenneth R. Vetzal
- S. Clift
- Jari Toivanen
- Justin W. L. Wan
- Iris R. Wang
- Yann d'Halluin
- Santtu Salmi
In Numerical Analysis
- Peter A. Forsyth
- Justin W. L. Wan
- Jari Toivanen
- Iris R. Wang
- Santtu Salmi
- S. Clift
- Fang Fang
- Cornelis W. Oosterlee
Citations in the corpus
- Robust numerical valuation of European and American options under the CGMY process (2007, methodology): “In [13, 18], an integration by parts technique was used to transform the integral part into a weakly singular Volterra equation.”
- Robust numerical methods for contingent claims under jump diffusion processes (2005, result): “Note that we have recently become aware of a paper (Vazquez and Oosterlee, 2003) which is similar in spirit to the methods suggested in this work, although the details of the implementation differ.”
- An iterative method for pricing American options under jump-diffusion models (2011, methodology): “We adopt the formulation presented by Almendral and Oosterlee in [2], where the matrix B is split with a regular splitting B = T − J , where T = I + θk∆tkD and J = −θk∆tkR.”
- Numerical solution of two asset jump diffusion models for option valuation (2008, methodology): “A similar approach, which uses an iterative method to solve the implicit discretized PIDE and which also uses an FFT to carry out the dense matrix-vector multiply, was developed by Almendral and Oosterlee [2].”