This year’s Discovery Day 2018 was held in Miami where global industry leaders shared their extensive knowledge on alternative data to an audience of banks, hedge funds, and asset managers.
We arranged this interview with a provider of mobile & technology data. The vendor tracks more than 3,000 models and 500 brands in 40 countries.
To back-test data, a dataset is divided into a training portion and a testing portion. The typical split of the data is 50/50 or 66/33. A model is built using the training data.
On December 5th 2017, Eagle Alpha organized the largest ever alternative data showcase event with 43 vendors pitching to over 100 buyside professionals.
Testing showed that firms with lower employee turnover systematically outperformed those with higher turnover rates.
Alternative data is non-traditional data that can be used in the investment process. According to our most sophisticated clients, there are already 1,200 alternative datasets available. We split the datasets into 24 categories.
Michael Reece, Chief Data Scientist at Neuberger Berman, published an article sharing his thoughts on the adoption of alternative data sources by portfolio managers.
In January 2018, The Bank of England published a working paper (attached) titled ‘News and Narratives in Financial Systems: Exploiting Big Data for Systemic Risk Assessment.’
With proliferating data and broader use by investment managers come greater media, regulatory and legal risks.
On November 30th, 2017, Eagle Alpha organized the first one-day event dedicated to how equity investors are using alternative data. The event was hosted by FactSet at their London offices.
On December 5th 2017, Eagle Alpha’s Data Insights team published a report titled “Finish Line: Search Indicator Implies Improving Sales Metrics.” Our Search Signal indicator, based on Google search data, was pointing to a potential recovery in same store sales for the company.
