This case study deck looks at alternative data use cases that can be applied to software stocks.
Consumer transaction data is one of the most popular and widely deployed types of alternative data by investment managers. The data is also used extensively by corporates with exposure to the retail segment of the economy.
Back in January of this year a letter from US lawmakers called for an investigation by the FTC into Yodlee and its parent Envestnet “to determine whether the company’s sale of sensitive financial transaction data from tens of millions of Americans violates the FTC Act”.
Placer.ai provides instant access to location analytics derived from the foot traffic of millions of consumers, delivering visibility into human mobility and offline shopping trends.
The rules and regulations around the collection and dissemination of data in China are lengthy and complex. Particularly when it comes to data that leaves the country. The collection and use of data can fall under Anti-Monopoly Law, Anti-Unfair Competition Law and cybersecurity law.
One of our Expert Hub contributors, Jonathan Neitzell of Anduril Partners and previously CDO at Goldman Sachs, discusses what he believes is best practice in establishing an investment process.
The US election is rapidly approaching, and investors are trying to position themselves by using alternative data. Some people argue that it is futile to try and position your portfolio based on the potential outcome of an election.
Polling data in the UK came under scrutiny after the Brexit and Scottish independence referenda. Articles in the British press and Bloomberg highlighted the controversy around hedge funds using polling data to trade the markets.
This case study deck provides an overview of alternative data for elections.
The US election is rapidly approaching. There are common datasets that can be applied to the topic with the most cited being polling data and betting odds data
The following is a synopsis of one of the presentations at Eagle Alpha’s ESG roundtable on 20th August 2020.
The following article is based on a roundtable hosted by Eagle Alpha in conjunction with FNA, a provider of analytics and software to Central Banks and Regulators. The roundtable took place on 15th July 2020.
