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Kniha 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
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Independently published
Dostupnost: Očekávané naskladnění
Naskladnění 09. 06. 2026
889 Kč
Reactive PublishingDiscover how generative diffusion models are transforming financial engineering....

Informace o knize

Autor
Vincent Bisette, Alice Schwartz
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2026
Stránek
546
EAN
9798180078780
Enbook ID
52815564
Vydavatel
Independently published
Hmotnost
653
Rozměry
152 x 229 x 34

Kompletní popis

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.