Gaussian process regression for pricing variable annuities with stochastic volatility and interest rate
Year of publication: |
2021
|
---|---|
Authors: | Goudenège, Ludovic ; Molent, Andrea ; Zanette, Antonino |
Published in: |
Decisions in economics and finance : a journal of applied mathematics. - Milano : Springer Italia, ISSN 1129-6569, ZDB-ID 2023516-1. - Vol. 44.2021, 1, p. 57-72
|
Subject: | GMWB pricing | Heston-Hull-White model | Numerical method | Machine learning | Gaussian process regression | Stochastischer Prozess | Stochastic process | Volatilität | Volatility | Zins | Interest rate | Schätztheorie | Estimation theory | Optionspreistheorie | Option pricing theory | Gauß-Prozess | Gaussian process | Künstliche Intelligenz | Artificial intelligence |
-
Delucchi, Alessio, (2023)
-
KrigHedge : Gaussian process surrogates for Delta hedging
Ludkovski, Mike, (2021)
-
Gümbel, Sandrine, (2020)
- More ...
-
Fourier-Cosine method for pricing and hedging insurance derivatives
Goudenège, Ludovic, (2018)
-
Machine learning for pricing American options in high-dimensional Markovian and non-Markovian models
Goudenège, Ludovic, (2020)
-
Computing credit valuation adjustment solving coupled PIDEs in the Bates model
Goudenège, Ludovic, (2020)
- More ...