Coming December 9th! Our 1st Annual Alternative Data Report: 2021 Year In Review. We are delighted to announce that we will be publishing our first annual Alternative Data Report which will provide an overview on What we have seen in 2021, Updates on 2021 predictions, Hot topics (ESG, Legal and Compliance, Inflation, China, App Annie), Data Strategy report summaries, Tech updates, Predictions for 2022.
Available to all readers. Pre-order your copy today!
At our 4th Hackathon this year, Team Quantagon, led by Alpha tester Seth Leonard, Founder of OttoQuant took the win, for the second time in a row! Congratulations Team Quantagon!
We will be publishing the full analysis in a white paper coming soon. Please register your interest to receive this paper. Through using and blending data from Ascential, Causality Link, LinkUp, Revelio Labs and SpaceKnow Inc., the predictions from OttoQuant at Eagle Alpha’s Alternative Inflation Data Hackathon outperformed both the consensus forecast (0.3%) and Cleveland Fed Nowcast (0.36%) for month-on-month inflation in September, with a nowcast of 0.37% using aggregated alternative series. Interestingly, the best performing model was that which used 138 disaggregated alternative data series, with a prediction of 0.43%. The true month-on-month change in the CPI was 0.41%.
Private Equity Historically
Historically, the PE industry has been dominated by institutions relying – often successfully – on local knowledge, personal networks and a big dose of intuition to spot opportunities and predict future trends. PE firms used to track and analyse investment targets and portfolio companies through Excel spreadsheets, static investment memos and CRM databases.
This report addresses the topic of ticker mapping as it relates to the alternative data marketplace. The reports objective is to inform both buyers and sellers of alternative data of the complexities and solutions of ticker mapping. Broadly speaking ticker mapping involves the application of identifiers, symbology or tickers to companies, or entities, in a dataset.
Alternative data is an asset class of information that has come into being off the back of the broader data explosion. Traditional financial data relies on information from company filings, investor presentations, media coverage, historical market prices, etc, which are now commoditized and easily accessible on financial databases. Alternative data can come from a plethora of sources, including satellite imagery, GPS tracking, transactional data, sentiment analysis of social media and news feed, etc.
This report is the third in a series of reports published by Eagle Alpha on the use of alternative data to track the impact of the Coronavirus. The purpose of this report is to provide buyside funds, private equity firms, corporates, government agencies and central banks with examples of how alternative data can be leveraged for timely insights.
In this day and age, data is often referred to as the oil that fuels the investment machine. Some go as far as tagging the search for alternative data as the new oil rush. In this article, we attempt to examine the growth and trends in alternative data, whilst also presenting various challenges and insights into how investment managers can adopt it to unlock its value. In summary: what is the ‘data on data’?
The purpose of this report is to provide buyside firms with examples of how data can be leveraged. This report is the seventh in a series of reports published by Eagle Alpha. The primary additions since Edition 6, published in November 2018, and this edition are:
is now mainstream.
case studies added (Section 4).