{"product_id":"real-time-macroeconomic-nowcasting-and-forecasting-hayden-van-der-post-9798199356336","title":"Real-Time Macroeconomic Nowcasting and Forecasting with Python: High-Frequency Data, Mixed-Frequency Models, and Machine Learning Approaches","description":"\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003cp\u003e\u003cb\u003eReal-Time Macroeconomic Nowcasting and Forecasting with Python\u003c\/b\u003e delivers a practical, hands-on guide to building sophisticated nowcasting and forecasting systems using modern Python tools and techniques.\u003c\/p\u003e\u003cp\u003eIn today's data-rich environment, traditional quarterly GDP reports and monthly indicators are often too slow for decision-making. This book shows you how to leverage high-frequency data, mixed-frequency models, and machine learning methods to generate timely, accurate macroeconomic insights in real time.\u003c\/p\u003eWhat You'll Learn: \u003cul\u003e\n\u003cli\u003eHow to acquire, clean, and align high-frequency economic data (financial markets, alternative data, and official statistics)\u003c\/li\u003e\n\u003cli\u003eMixed-frequency modeling techniques including MIDAS, U-MIDAS, and dynamic factor models\u003c\/li\u003e\n\u003cli\u003eReal-time nowcasting frameworks for GDP, inflation, employment, and other key indicators\u003c\/li\u003e\n\u003cli\u003eMachine learning approaches for macroeconomic forecasting, including tree-based models, neural networks, and ensemble methods\u003c\/li\u003e\n\u003cli\u003eFeature engineering strategies specifically designed for economic time series\u003c\/li\u003e\n\u003cli\u003eModel evaluation, backtesting, and deployment considerations for production environments\u003c\/li\u003e\n\u003cli\u003eBest practices for handling revisions, ragged-edge data, and publication lags\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for economists, data scientists, quantitative analysts, and Python developers working in finance, central banking, policy research, or investment, this book bridges the gap between economic theory and practical implementation.\u003c\/p\u003e\u003cp\u003eAll code examples are built using accessible, open-source Python libraries such as pandas, statsmodels, scikit-learn, TensorFlow\/Keras, and specialized time-series packages. Full working examples and best practices are provided so you can move from theory to working models efficiently.\u003c\/p\u003e\u003cp\u003eWhether you're looking to enhance your nowcasting capabilities or build production-grade forecasting systems, this book provides the technical foundation and practical guidance needed to work effectively with real-time macroeconomic data.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Hayden Van Der Post,Oliver J. Thatch\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798199356336\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/31\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 374\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.99lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.93d","brand":"Hayden Van Der Post","offers":[{"title":"Paperback","offer_id":48874704601343,"sku":"9798199356336","price":39.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/real-time-macroeconomic-nowcasting-and-forecasting-hayden-van-der-post-9798199356336","provider":"WR Book House","version":"1.0","type":"link"}