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Refinement by reducing and reusing random numbers of the Hybrid scheme for Brownian semistationary processes
Fukasawa, Masaaki; Hirano, Asuto - In: Quantitative finance 21 (2021) 7, pp. 1127-1146
Persistent link: https://www.econbiz.de/10012588025
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JDOI variance reduction method and the pricing of American-style options
Auster, Johan; Mathys, Ludovic; Maeder, Fabio - In: Quantitative finance 22 (2022) 4, pp. 639-656
Persistent link: https://www.econbiz.de/10013367843
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Artificial neural network for option pricing with and without asymptotic correction
Funahashi, Hideharu - In: Quantitative finance 21 (2021) 4, pp. 575-592
Persistent link: https://www.econbiz.de/10012483840
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Turbocharging Monte Carlo pricing for the rough Bergomi model
McCrickerd, Ryan; Pakkanen, Mikko S. - In: Quantitative finance 18 (2018) 11, pp. 1877-1886
Persistent link: https://www.econbiz.de/10012262858
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Dynamic programming for optimal stopping via pseudo-regression
Bayer, Christian; Redmann, Martin; Schoenmakers, John - In: Quantitative finance 21 (2021) 1, pp. 29-44
Persistent link: https://www.econbiz.de/10012424631
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A second-order discretization with Malliavin weight and Quasi-Monte Carlo method for option pricing
Yamada, Toshihiro; Yamamoto, Kenta - In: Quantitative finance 20 (2020) 11, pp. 1825-1837
Persistent link: https://www.econbiz.de/10012313518
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Numerical smoothing with hierarchical adaptive sparse grids and quasi-Monte Carlo methods for efficient option pricing
Bayer, Christian; Ben Hammouda, Chiheb; Tempone, Raúl - In: Quantitative finance 23 (2023) 2, pp. 209-227
Persistent link: https://www.econbiz.de/10014232621
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Deep weighted Monte Carlo : a hybrid option pricing framework using neural networks
Kunsági-Máté, Sándor; Fáth, Gábor; Csabai, István; … - In: Quantitative finance 23 (2023) 4, pp. 615-629
Persistent link: https://www.econbiz.de/10014304287