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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.

Parametry knihy

• Plný název: Machine Learning Models in Quantitative Finance
• Podnázev: A Practical Guide to Forecasting, Pricing, and Signal Generation
• Autor: Reactive Publishing, Vincent Bisette
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 492
• EAN: 9798280005969
• ID: 52821650
• Nakladatelství: Independently published
• Hmotnost: 590 g
• Rozměry: 229 × 152 × 31 mm
• Datum vydání: 15. April 2025

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