We investigate the economic consequences of statistical learning for arbitrage pricing in a high-dimensional setting. Arbitrageurs learn about alphas from historical data. When alphas are weak and rare, estimation errors hinder arbitrageurs--even those employing optimal machine learning...

Comprehensive granular data on firms' access to international credit markets and its determinants is instrumental in answering a wide set of questions in international macroeconomics and finance. We describe how to put together data on primary market issuance and secondary market pricing, how to...

This book provides a comprehensive discussion of market research and analysis, covering key concepts, process descriptions, qualitative and quantitative techniques for market research and data analysis, and application scenarios. Although it is not an academic textbook, it is geared toward...

This book provides a comprehensive and systematic assessment of the application of the Index of Qualitative Variation (IQV) to the workplace. Like its preceding companion books, this book offers human resources practitioners and researchers in the nonprofit, private, and public sectors a...

Discover how to develop and implement an HR analytics system that benefits employees, as well as your organization The potential of HR analytics is a major discussion among scholars, practitioners, thought leaders, and technology vendors, with companies like Amazon, Apple, Google, and Meta...

Machine learning algorithms can find predictive signals that researchers fail to notice; yet they are notoriously hard-to-interpret. How can we extract theoretical insights from these black boxes? History provides a clue. Facing a similar problem - how to extract theoretical insights from their...