Assessing the Least Squares Monte-Carlo Approach to American Option Valuation
By Lars Stentoft. 2004
140 citations recorded by the source corpus.
Subfields: Finance
View Paper: https://www.semanticscholar.org/paper/f6ce39524e3de23c48a38104bfcf1100383a59f9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- M. Ludkovski
- Cyriel de Jong
- Alexander Boogert
- René A. Carmona
- Lars Stentoft
- Daniel Lacker
- Shige Peng
- Markus Fischer
Citations in the corpus
- Valuation of energy storage: an optimal switching approach (2010, background): “Nevertheless, extensive empirical experiments (Stentoft 2004) have strongly supported the general TvR/LSM methodology.”
- Gas Storage Valuation Using a Monte Carlo Method (2008, methodology): “Glasserman [2004] offers an overview of variance reduction techniques, and Stentoft [2004a] finds that antithetic sampling does not always outperform the standard simulation.”
- Regression-based algorithms for life insurance contracts with surrender guarantees (2010, unknown): “The joint effect of H and M on convergence is less clear: some non-asymptotic results can be found in Gobet et al. (2005), while interesting numerical investigations are reported by Moreno and Navas (2003) and Stentoft (2004).”
- Pricing American options when the underlying asset follows GARCH processes (2005, methodology): “The Least Squares Monte Carlo method, or LSM method for short, has been examined in some detail in Moreno & Navas (2003) and Stentoft (2004a), whereas the mathematical foundation for the use of the method in derivatives research is provided in Stentoft (2004b).”