Chebyshev interpolation for parametric option pricing
| Year of publication: |
July 2018
|
|---|---|
| Authors: | Gaß, Maximilian ; Glau, Kathrin ; Mahlstedt, Mirco ; Mair, Maximilian |
| Published in: |
Finance and stochastics. - Berlin : Springer, ISSN 0949-2984, ZDB-ID 1356339-7. - Vol. 22.2018, 3, p. 701-731
|
| Subject: | Multivariate option pricing | Complexity reduction | (Tensorized) Chebyshev polynomials | Polynomial interpolation | Fourier transform methods | Monte Carlo | Parametric Monte Carlo | Online-offline decomposition | Optionspreistheorie | Option pricing theory | Monte-Carlo-Simulation | Monte Carlo simulation | Schätztheorie | Estimation theory |
-
Pricing high-dimensional American options by kernel ridge regression
Hu, Wenbin, (2020)
-
Calculate tail quantiles of compound distributions
Abdymomunov, Azamat, (2019)
-
Monte Carlo payoff smoothing for pricing autocallable instruments
Koster, Frank, (2018)
- More ...
-
Complexity reduction for calibration to American options
Burkovska, Olena, (2019)
-
PIDE methods and concepts for parametric option pricing
Gaß, Maximilian, (2016)
-
Complexity reduction for option pricing : parametric problems and methodological risk
Mahlstedt, Mirco, (2017)
- More ...