Importance sampling for option pricing with feedforward neural networks
DOI10.1007/s00780-024-00549-xMaRDI QIDQ6659479
Pavel V. Shevchenko, Aleksandar Arandjelović, Thorsten Rheinländer
Publication date: 9 January 2025
Published in: Finance and Stochastics (Search for Journal in Brave)
importance samplinguniversal approximationfeedforward neural networksCameron-Martin spaceDoléans-Dade exponential
Gaussian processes (60G15) Numerical methods (including Monte Carlo methods) (91G60) Artificial neural networks and deep learning (68T07) Monte Carlo methods (65C05) Derivative securities (option pricing, hedging, etc.) (91G20) Actuarial science and mathematical finance (91Gxx) Acceleration of convergence in numerical analysis (65B99)
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