Machine Learning Models in Quantitative Finance: A Practical Guide to Forecasting, Pricing, and Signal Generation - Brossura

Bisette, Vincent; Publishing, Reactive

Brossura

ISBN 13: 9798280005969

Casa editrice: Independently published, 2025

Riassunto

Reactive Publishing

Machine Learning Models in Quantitative Finance: A Practical Guide to Forecasting, Pricing, and Signal Generation

By Vincent Bisette

Unlock the power of machine learning in financial markets—without needing a PhD in data science.

This hands-on guide delivers a focused, tactical approach to integrating machine learning into quantitative finance. Designed for analysts, traders, and finance professionals, this book demystifies the process of applying ML to real-world financial data for forecasting, pricing models, and signal generation.

Inside, you’ll discover:

• Practical ML models tailored for time series, options pricing, and strategy development

• Step-by-step implementation using Python and Excel

• Techniques to engineer features, reduce overfitting, and optimize model performance

• Case studies on using random forests, XGBoost, and neural networks for alpha generation

• How to build ML pipelines that integrate seamlessly with existing quant workflows

You won’t find generic theory or fluff—just battle-tested tools and frameworks that work in volatile markets. Whether you’re building your first predictive model or fine-tuning your algo trading stack, this book gives you the edge.

Finance moves fast. So should your models.

Dettagli dell'edizione

• Editore: Independently published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798280005969
• Rilegatura: Copertina flessibile
• Numero di pagine: 491
• Contatto del produttore: Manufactured by Amazon on behalf of the author; https://www.amazon.it/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Lussemburgo