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Könyv 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

Szerző: Vincent Bisette, Alice Schwartz
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Independently published
Elérhetőség: Várható készletfeltöltés
Küldés 09. 06. 2026
14 588 Ft
Reactive PublishingDiscover how generative diffusion models are transforming financial engineering....

Információk a könyvről

Szerző
Vincent Bisette, Alice Schwartz
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
546
EAN
9798180078780
Enbook ID
52815564
Kiadó
Independently published
Súly
653
Méretek
152 x 229 x 34

Teljes leírás

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.