Crowding and Alternative Data: Our Analysis and Outlook
As the use of alternative data within the investment community grows more prevalent, this prompts questions on dataset crowding and its implications for alpha generation. While opinions may be divided on the significance of buy-side client numbers in evaluating a dataset, an analysis of dataset crowding serves as an interesting source of insight into the interplay between supply and demand for different data types. In the following analysis, we explore: (1) levels of dataset crowding across different dataset types, (2) supply and demand for four dataset types: web scraping, web & app tracking, ESG, and location, (3) the types of data that will be most valued by investors in the future.
14 Feb 2019