On June 25th, 2020, we hosted an alpha workshop on web-crawled. Our Webinar speakers were Maura Pape, Herb Blank, and Jan Kinne. All our speakers have a unique approach to using crawled data in financial markets.
In this report we present 15 consumer transaction use cases for long term fundamental investors.
This article summarizes expert responses to the question: "What are the various techniques for measuring ROI on alternative data?”
We discussed some of the ways we can speed up code in Python like Numba or Cython. However, it is important to note that it often requires time to rewrite the code to maximise the speed up.
Applying a systematic approach to PE is about triangulation not optimization. It starts with embracing big data and accepting new analytic approaches. Most alt data is applied at the due diligence stage, particularly for revenue and valuation estimates.
On June 18th 2020, we hosted a legal webinar on FISD's Alternative Data Council. Tracey Shumpert, Vice President of FISD, and Elizabeth Pritchard, Founder, and CEO of White Rock Data Solutions joined us and presented the latest initiatives of the council.
This video includes a summary of best alpha capture predictions that Eagle Alpha received.
On April 30th 2020, the CNIL published its guidance for “commercial prospecting” practices, i.e. scraping public websites and collecting personal information of individuals in order to sell it on to marketing companies conducting targeting campaigns.
In this interview with Athan Mavrantonis, Senior Data Analyst at Eagle Alpha, we discussed alternative data visualization tools and challenges.
Daniel McCarthy, Professor of Marketing at Emory University and Founder of Theta Equity Partners, delivered the presentation on practical applications of the CBCV model.
In this webinar we present 20 alpha capture predictions by selected data vendors.
The report prepared by SS&C and AIMA discusses how widely adopted alternative data is within the hedge fund industry, the main alternative data uses, the opportunities and challenges that these data sets present.
