Eagle Alpha's GrubHub predictive model, based on email receipt data from our data partner, accurately forecast GrubHub’s Q3 2017 revenue beat.
Consumer transaction data is provided by Eagle Alpha’s partner and consists of anonymized panel data drawn from users of the UK's largest personal financial assistant, an app/web platform. Data is collected in near real-time, directly from bank and credit card records.
On July 4th 2017, Eagle Alpha published a research note analyzing Fitbit’s Q2 with the use of online retail data.
Asset managers constantly ask Eagle Alpha for case studies that demonstrate how alternative data can add value to their investment process. In response to this demand Eagle Alpha will regularly publish a compilation of case studies. This document is the first in this series.
Eagle Alpha organized the first showcase events of consumer transaction datasets in NYC (March 23rd, 2017) and London (March 21st, 2017). Five alternative data companies pitched to 100 buyside firms in NYC and 40 in London.
In its recent Global Equity Outlook, BlackRock outlined its position on the attractiveness of China’s equities: “Making money in Chinese stocks requires dropping one’s preconceptions, paying close attention to policy priorities and using new data sources to generate ideas.
PSD2 – Revised Payment Services Directive – is soon to cause a disruption to Europe’s financial system.
Since 2011, the Federal Reserve Board has published its survey on the usage of mobile phones and interactions of consumers with financial institutions.
Consumer transaction data can be highly informative and, in certain cases, predictive. Bank of America Merrill Lynch uses its debit and credit card data to analyze the US economy and retail sales, in particular.
his article highlights some of the most actionable research reports that Eagle Alpha published in 2015.
