On multigrid for linear complementarity problems with application to American-style options.
By Cornelis W. Oosterlee. 2003
148 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d392799c2567e5519144b346eb483c938074a890
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- Carl Chiarella
- Samuli Ikonen
- Boda Kang
- Jari Toivanen
- Gunter H. Meyer
- H. Nieuwenhuis
- Tinne Haentjens
- Andrew Ziogas
Citations in the corpus
- Efficient numerical methods for pricing American options under stochastic volatility (2008, methodology): “Similarly to [33], we truncate domain so that X = 20 and Y = 1.”
- On multigrid for anisotropic equations and variational inequalities “Pricing multi-dimensional European and American options” (2004, result): “Oosterlee [13] studies the same problem and improves the results of Brandt and Cryer for the setting of varying coefficients by iterant recombination.”
- The Evaluation of American Option Prices Under Stochastic Volatility and Jump-Diffusion Dynamics Using the Method of Lines (2009, methodology): “Ikonen & Toivanen (2004, 2007) use a finite difference approach featuring operator splitting, and there are several examples featuring multi-grid finite difference methods, including Clarke & Parrott (1999), Oosterlee (2003) and Reisinger & Wittum (2004).”
- Pricing American Options Using LU Decomposition (2007, methodology): “The BDF2 formula is more stable than the Crank-Nicolson scheme [14], [25], and due to this high frequency oscillations are sufficiently damped out in time.”
- A tree-based method to price American options in the Heston model (2009, methodology): “Their method was further improved by Oosterlee [18] who used Fourier analysis methods to optimize the smoothing procedure in the multigrid procedure.”
- COMPONENTWISE SPLITTING METHODS FOR PRICING AMERICAN OPTIONS UNDER STOCHASTIC VOLATILITY (2007, methodology): “The most common way to obtain the price u is to formulate a linear complementarity problem for u and then solve it numerically; see [5], [18], [23], and [38], for example.”
- A Nonlinear GMRES Optimization Algorithm for Canonical Tensor Decomposition (2011, methodology): “In their applications, they employ nonlinear GMRES to drive the residuals of the PDEs to zero, and use multigrid as the preconditioner [18, 13, 12].”
- ADI Schemes for Pricing American Options under the Heston Model (2013, methodology): “Oosterlee [29] provides a detailed Fourier analysis of the PFAS approach for the Heston LCP and concludes, in particular, that an alternating line smoother is robust.”