JetTrack used its corporate aviation dataset to uncover meetings between Michael Kors and Versace.
On October 4th 2018, Eagle Alpha organized an in-person meeting in NYC together with recruitment firm Options Group. It was attended by eight asset management firms to discuss our latest white paper published on the topic of HR best practices.
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 paper is aimed at asset managers interested in learning more about building an internal alternative data group.
The implementation of GDPR, and the California passage of data privacy legislation, have made data regulation in the US practically inevitable.
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.
Niall Hurley, Director of Business Development, provided color on the alternative data market in the Asia Pacific (APAC) region post an event hosted by Eagle Alpha on September 11th in Hong Kong.
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.
