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Книга 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

Автор: Vincent Bisette, Alice Schwartz
Език: Английски език
Корици: С меки корици
Издател: Independently published
Наличност: Очаква се зареждане
Издание 09. 06. 2026
41.01 € 80.20 лв
Reactive PublishingDiscover how generative diffusion models are transforming financial engineering....

Информация за книгата

Автор
Vincent Bisette, Alice Schwartz
Език
Английски език
Корици
Книга - С меки корици
Издадена
2026
страници
546
EAN
9798180078780
Enbook ID
52815564
Издател
Independently published
Теглоt
653
Размери
152 x 229 x 34

Пълно описание

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.