Alternative Data News and Insight

Neudata has combined insights from multiple empirical studies to provide 1) an overview of potential use cases for AIS-derived vessel tracking data, 2) a case study investigating the alignment of AIS-based trade estimates and official customs statistics, 3) an introduction to AIS data challenges, and 4) advice for data buyers.

From counting cars at mall and shopping centre parking lots to gauge consumer traffic, to calculating the shadows cast on floating-roof tanks to estimate global crude oil supply, satellite data has become one of the more well-known types of alternative data in the market. With significant numbers of institutional investors realizing the value of this data, we address the current state of the industry, as well as some words of caution when approaching satellite data.

We summarise a case study illustrating how corporate jet activity can yield signals that help investors to identify the most likely acquirer for a takeover target. We also outline an alternative approach to tracking corporate jets using free alternative data sources.

With 90% of today’s data created in the last two years, opportunities to leverage vast amounts of unstructured data sources are growing at an exponential rate. The proliferation of AI and big data is transforming the ESG industry – providing investors with a greater supply of more timely information and the ability to develop more sophisticated investing strategies. Alternative data is the driving force behind ESG 2.0.

We summarise key findings from a backtest using an alternative data provider’s cognitive data scores and shareholder returns. Scores were sourced from statements made by company executives on quarterly earnings calls. In short, the backtest supports the view that higher than trend value scores are likely to precede shareholder gains.

We summarise key findings of a research paper co-authored by a pharmaceutical data provider. Using Takeda Pharmaceutical’s FY 2017 Q4 pipeline as an example, we also evaluate how phase transition data can be used by investors to gain a better understanding of which drugs are most likely to be approved by the FDA and to analyse the health of a pharmaceutical company’s pipeline.

Sports Direct and Ryanair have both demonstrated share price volatility in the last few years that many attribute to poor labour management practices. Finding a way to measure social intangibles, and in particular monitoring significant changes to such, could therefore be a useful leading indicator in predicting share price movements. We outline 1) ways in which one can measure the ‘S’ factor, 2) studies that support incorporating social intangibles into the investment process and 3) examples of alternative data providers that can help an investor do so.

Using data sourced from a Neudata-listed alternative data provider, we highlight key findings from the group's analysis on Carillion, and establish the early warning signals that could have helped investors anticipate the group’s failure, including: 1) High revenue concentration 2) Lumpy construction projects 3) A shift towards the construction sector, and 4) A decrease in award value

At Neudata we have seen increased interest in alternative datasets that offer insights into a given company’s Intellectual Property. We explain 1) why we think this is, 2) why we believe trademark data is particularly interesting, 3) empirical studies that support this view, and 4) recommended providers to use in order to access trademark data.