QUADRATIC CONVERGENCE OF A PENALTY METHOD FOR VALUING AMERICAN OPTIONS
By Peter A. Forsyth. 2000
80 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b70caadd66b44d27a3eaf01dda0d9e4b6ad26600
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Peter A. Forsyth
- Kenneth R. Vetzal
- Iris R. Wang
- George Labahn
- Yann d'Halluin
- Justin W. L. Wan
- Y. Huang
- S. Clift
Citations in the corpus
- Analysis of a penalty method for pricing a guaranteed minimum withdrawal benefit (GMWB) (2012, background): “This issue is also discussed in Forsyth and Vetzal (2002).559 6.4 Comparison: Penalty Method (Singular Control) and Impulse Control560 As outlined in (Zakamouline, 2005), it is almost always possible to formulate a singular control561 problem as an impulse control problem, with arbitrarily small…”
- Numerical methods for controlled Hamilton-Jacobi-Bellman PDEs in finance (2007, methodology): “A numerical algorithm based on the penalty method is described in [22].”
- Robust numerical valuation of European and American options under the CGMY process (2007, methodology): “The value of Large is chosen depending on the accuracy desired (see [26]).”
- Robust numerical methods for contingent claims under jump diffusion processes (2005, methodology): “As mentioned in Section 6, this is easily handled in our framework by combining the fixed point iteration with the penalty method described in Forsyth and Vetzal (2002).”