Case Study

Quantitative investors use Earnest Analytics credit card data to add company coverage while reducing cost per ticker and data lag time

A large quant fund wanted to incorporate credit card transaction data into their algorithm. They especially needed point-in-time data to measure how panel churn impacted their backtests. They came to Earnest for the ability to: 

• See sales on the shortest possible lag for as many consumer companies as possible at a
  reasonable cost per ticker
• Integrate macroeconomic trends like consumer spending by category and backtests to US government trade surveys into their investment process
• See point-in-time data and panel history documentation on methodology updates so they could assess historical results in context