Alternative Data Use Cases - Edition 6
The purpose of this report is to provide buyside firms with examples of how alternative data can be leveraged. This report is the sixth in a series of reports published by Eagle Alpha.
The purpose of this report is to provide buyside firms with examples of how alternative data can be leveraged. This report is the sixth in a series of reports published by Eagle Alpha.
Eagle Alpha’s Data Analytics team published two notes in quick succession correctly highlighting a lack of consumer interest for Apple’s iPhones.
JetTrack used its corporate aviation dataset to uncover meetings between Michael Kors and Versace.
This vendor combines fundamental analysis, quantitative metrics, and alternative data. Using proprietary artificial intelligence and deep-learning algorithms which constantly filter, rank, and sort vast amount of data in order to adapt to changing market conditions.
This vendor is a leading provider of ETF reference data. The company sources data directly from the ETF issuers as well as their custodians, administrators and distributors.
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.
The purpose of this report is to provide asset managers with examples of how alternative data can be leveraged in investment research. This report is the fifth in a series of reports published by Eagle Alpha.
Geo-location data and web app data combined with demographic tagging yields powerful insights into the Chinese stock market, business climate, and corporate level activity.
JetTrack used its corporate aviation dataset to uncover meetings between Stryker Corp. and Boston Scientific.
The vendor’s analytics indicate that the Reserve Bank of Australia’s outlook on the Australian economy has become more dovish in conjunction with the escalation of international trade tensions, even as other economic data has remained solid.
This vendor uses a combination of Artificial Intelligence and rule-based Natural Language Processing to extract unique insights from large volumes of written and spoken words. The dataset contains a grouping of 400 events into 18 high level categories.
Using online search data, Eagle Alpha correctly predicted the strength in DSW same-store sales.