Like expert networks in the late 1990s, alternative data may revolutionize the investment process. This is evidenced by a JPMorgan survey of 237 investors at its quant conference in May 2017.
Traditionally considered a relatively safe investment, recent municipal bankruptcies and defaults have resulted in the restructurings of bond obligations. Losses on the part of bondholders have caused investors to re-assess the risk profile of municipal issuers.
The dataset is delivered through a partnership with a provider that collects anonymized purchase data from around 2 million active shoppers, scanned from email purchase receipts.
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.
Google Trends is a public web facility based on Google Search that shows how often a particular search-term is entered relative to the total search-volume over time across various regions of the world.
App download and usage data is an example of an alternative data source that can be used to analyze product adoption and brand satisfaction.
The case study presented below was prepared by a satellite imagery data analytics company that catalogued and back tested more than one million parking lot images that accounted for 1.5 billion cars over seven years.
Using email receipt and Google search data, Eagle Alpha published a research report on July 14th predicting a weaker June quarter for Starbucks versus consensus.
On July 17th, Netflix reported better than expected Q2 results with revenues growing by 36% to $2.67 billion.
On July 4th 2017, Eagle Alpha published a research note analyzing Fitbit’s Q2 with the use of online retail data.
On July 13th, 2017, Eagle Alpha published a research note analyzing PayPal’s Q2 using email receipt data. Eagle Alpha’s PayPal predictive model suggested better Q2 revenue than consensus estimates.
Google Trends is a public web facility based on Google Search that shows how often a particular search term is entered relative to the total search-volume over time across various regions of the world.
