This paper is a compilation of alternative data insights relevant to engineers and data scientists from Eagle Alpha’s vast library of content on the Data Strategy solution. The Data Strategy solution helps our clients to build and innovate their alternative data strategies and discover new opportunities from alternative data. Through our data Strategy advisory services, live workshops, and proprietary content our clients drive alternative data adoption at their firms, increase the ROI on their alternative data initiative, and they mitigate the risks associated with alternative data.OverviewIn this paper we highlight content that ranges from strategic advice from industry veterans to practical insights from engineers and data scientists with experience working with alternative data. The insights reflect Eagle Alpha’s own perspectives, as well as those of highly respected third parties.
SEC Discussion on the App Annie Ruling and Alternative Data Examinations | October 13th, Midtown New York
Following the SEC’s ruling on App Annie, Eagle Alpha believed it to be particularly pertinent to speak directly with the SEC in order to further understand the commission’s enforcement around alternative data and their examination procedure and requirements.
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%.
Undoubtedly, alternative data has become more accessible to data buyers of all shapes and sizes, with the most accessible avenue into alternative data being web crawling, or web scraping as it’s also known. Web crawling has been utilized by hedge funds and corporates for several years now and is considered by many to be the “gateway” into the alternative data ecosystem. The reason being that web crawling is a ‘low-risk, high return’ data source. Web crawling offers perfect conditions to achieve buy-in and resourcing and can be implemented with a small team of analysts and engineers.
This Spotlight report explores web crawling by outlining the most pertinent case studies from our vast library of content accessible through the Data Strategy platform, as well as exploring leading web crawled data providers available to view and connect with through our Discovery and Prioritisation solution. We have included case studies for each category to provide some real-world examples of how web crawling can improve the decision-making process for both financial services firms as well as corporates and provide insights that are not readily available through the analysis of traditional forms of data.
This blog is based on a webcast hosted in partnership with CAIA Association, where Eagle Alpha’s Director of Dara Strategy and Analytics, Ronan Crosson, spoke alongside Tim Kiely, Lead Data Scientist, at American Securities about using alternative data for...
This blog is based on a webcast hosted in partnership with CAIA Association, where Eagle Alpha spoke alongside strategic partners onefourzero about using alternative data for deal origination and due diligence. The Alternative Data Landscape for Private Equity If we...
Data science and engineering teams at 10 buyside funds completed surveys over a two-week period in August 2021. Although the survey sample is small, there is a great similarity in respondent profiles. This report breaks down the responses by Methodology, Challenges, Storage & Compute Infrastructure, Data Delivery, and ETL & Dashboarding.
On 14th September 2021, the Securities and Exchange Commission (SEC) brought a securities fraud ruling against leading mobile app data provider App Annie and its co-founder and former CEO and Chairman Bertrand Schmitt. The SEC found that at this time the company was “engaging in deceptive practices and making material misrepresentations about how App Annie’s alternative data was derived” that violated anti-fraud provisions of Section 10(b) of the Exchange Act and Rule 10b-5 thereunder.
In the ESG landscape, some of the pain points for asset managers, are a lack of comparable, high-quality, high-frequency raw data, a lack of standardized definitions of sustainable activities, conflicting ESG taxonomies, and divergence in scoring methodologies across traditional ESG data vendors. This conundrum remains despite a proliferation of ESG data vendors since current ESG scoring methodologies are limited
by voluntary and sparse non-financial input data and must be supplemented by alternative datasets such as events data, real-time data, satellite imagery data, traditional and social media data, all of which capture material issues and events not reflected in a company’s financial and regulatory filings. Extracting, evaluating, and standardizing these alternative datasets require significant manual effort, creating strong incentives for the use of machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) techniques.
With an increasing number of internet users moving away from traditional internet channels like desktop computers and towards mobile-only use, app usage data can offer hugely valuable insights into consumer behaviour and company performance through a variety of key performance metrics.