Machine Learning Models in Quantitative Finance

Reactive Publishing Machine Learning Models in Quantitative Finance: A Practical Guide to Forecasting, Pricing, and Signal GenerationBy Vincent BisetteUnlock 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 Finance moves fast. So should your models.