2 citations · 2 across the 1 of their papers we have counts for
3 papers
Finance-Informed Neural Network: Learning the Geometry of Option Pricing
Amine M. Aboussalah, Xuanze Li, Cheng Chi +1
We propose a Finance-Informed Neural Network (FINN) for option pricing and hedging that integrates financial theory directly into machine learning. Instead of training on observed…
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
Raj G. Patel, Tomas Dominguez, Mohammad Dib +12
The Cheyette model is a quasi-Gaussian volatility interest rate model widely used to price interest rate derivatives such as European and Bermudan Swaptions for which Monte Carlo s…
Quantum-Inspired Tensor Neural Networks for Option Pricing
Raj G. Patel, Chia-Wei Hsing, Serkan Sahin +12
Recent advances in deep learning have enabled us to address the curse of dimensionality (COD) by solving problems in higher dimensions. A subset of such approaches of addressing th…