Quanto Option Pricing on a Multivariate Lévy Process Model with a Generative Artificial Intelligence
By Young Shin Kim, Hyun-Gyoon Kim
Rating
1507
Battle Count: 88
Relevance
9/10
Highly relevant for pricing complex derivatives and modeling multivariate financial processes
Implementation Complexity
8/10
Requires advanced knowledge of stochastic processes and machine learning techniques
Reproducibility
4/5
The paper provides detailed mathematical formulations and describes the implementation process, but code is not explicitly provided.
About this paper
Methodology: Generalized Normal Tempered Stable (gNTS) Process with Conditional RealNVP. Problem types: Option Pricing, Density Estimation, Generative Modeling.
The interactive Everscope explorer (charts, battles, favorites) loads below.