Menu
Află starea comenzii
Contactați-ne
Carte Generative Diffusion Models for Financial Engineering Vincent Bisette

Generative Diffusion Models for Financial Engineering

Synthetic Data Generation, Tail Risk Management, and Stress Testing with Python

Autor: Vincent Bisette, Alice Schwartz
Limbă: engleză
Legare: Carte broșată
Editura: Independently published
Disponibilitate: Așteptăm intrarea în stoc
Ediția 09. 06. 2026
203.72 lei
Reactive PublishingDiscover how generative diffusion models are transforming financial engineering....

Informații despre carte

Autor
Vincent Bisette, Alice Schwartz
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2026
Pagini
546
EAN
9798180078780
Enbook ID
52815564
Editura
Independently published
Greutate
653
Dimensiuni
152 x 229 x 34

Descriere completă

Reactive Publishing

Discover how generative diffusion models are transforming financial engineering. This technical guide explores the application of advanced diffusion-based techniques to create high-quality synthetic financial scenarios, strengthen tail-risk analysis, and improve stress testing and backtesting workflows.

Written for quantitative analysts, risk managers, and Python practitioners, the book provides practical implementations for generating realistic synthetic data that captures complex market dynamics, volatility clustering, and extreme events. Learn to build more robust models that better withstand market shocks and enhance decision-making under uncertainty.

Clear explanations, code examples, and real-world considerations make this a valuable resource for professionals applying cutting-edge generative AI methods to quantitative finance challenges.