Macroeconomic Forecasting Using Alternative Data: Techniques for Applying Big Data and Machine Learning 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 forecasting
• Explains how alternative data improves forecasting accuracy when controlled for traditional data sources
• Provides new innovative methods for handling large databases and improving forecasting accuracy