Macroeconomic Forecasting Using Alternative Data: Techniques for Applying Big Data and Machine Learning

Macroeconomic Forecasting Using Alternative Data applies computer science to the demands of macroeconomic forecasting. It is the first book to combine machine learning methods with macroeconomics. By using artificial intelligence and machine learning techniques, it unlocks the increased forecasting accuracy offered by alternative data sources. Through its interdisciplinary approach, readers learn how to use big datasets efficiently and effectively. Combines big data/machine learning with macroeconomic forecastingExplains how alternative data improve forecasting accuracy when controlled for traditional data sourcesProvides new innovative methods for handling large databases and improving forecasting accuracy INDICE: 1. The Importance of Macro Prediction2. Macro Data are Noisy3. Our Goal: Macro Data with Less Noise and Lag4. Alternate Data5. A Framework for Alternate Data6. Predicting Data Releases with Search7. Modeling Case Study: Non-Farm Payrolls8. Accounting Data9. Prediction in Practice10. Public Good: Visualizing World Economic Growth in Real Time11. Interviews with Policy Makers and Asset Managers

• ISBN: 978-0-12-819121-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 250
• Fecha Publicación: 01/08/2020
• Nº Volúmenes: 1
• Idioma: Inglés