Enhancing path-integral approximation for non-linear diffusion with neural network
arXiv:2404.08903v11 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis
This work addresses pricing accuracy for financial instruments, though it appears incremental as it builds on existing methods.
The researchers tackled the problem of pricing fixed income instruments in the Black-Karasinski model by enhancing a path-integral approximation with neural networks, achieving superior outcomes across multiple calibrations and extended projection horizons.
Enhancing the existing solution for pricing of fixed income instruments within Black-Karasinski model structure, with neural network at various parameterisation points to demonstrate that the method is able to achieve superior outcomes for multiple calibrations across extended projection horizons.