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SECTION B

GPU acceleration of the stochastic grid bundling method for early-exercise options

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Pages 2433-2454 | Received 30 Oct 2014, Accepted 04 Jun 2015, Published online: 02 Sep 2015

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Íñigo Arregui, Álvaro Leitao, Beatriz Salvador & Carlos Vázquez. (2023) Efficient parallel Monte-Carlo techniques for pricing American options including counterparty credit risk. International Journal of Computer Mathematics 0:0, pages 1-21.
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Ki Wai Chau & Cornelis W. Oosterlee. (2019) Stochastic grid bundling method for backward stochastic differential equations. International Journal of Computer Mathematics 96:11, pages 2272-2301.
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Vikranth Lokeshwar, Vikram Bharadwaj & Shashi Jain. (2022) Explainable neural network for pricing and universal static hedging of contingent claims. Applied Mathematics and Computation 417, pages 126775.
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J. Lars Kirkby, Dang H. Nguyen & Duy Nguyen. (2020) A general continuous time Markov chain approximation for multi-asset option pricing with systems of correlated diffusions. Applied Mathematics and Computation 386, pages 125472.
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Shashi Jain, Alvaro Leitao Rodriguez & Cornelis W. Oosterlee. (2017) Rolling Adjoints : Fast Greeks Along Monte Carlo Scenarios for Early-Exercise Options. SSRN Electronic Journal.
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Qian Feng, Shashi Jain, Patrik Karlsson & Cornelis W. Oosterlee. (2016) Efficient Computation of Exposure Profiles on Real-World and Risk-Neutral Scenarios for Bermudan Swaptions. SSRN Electronic Journal.
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Qian Feng & Cornelis W. Oosterlee. (2014) Monte Carlo Calculation of Exposure Profiles and Greeks for Bermudan and Barrier Options under the Heston Hull-White Model. SSRN Electronic Journal.
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