We highlight key findings from a commodity alternative data provider's recent backtest on their US corn production forecasts. The results establish that the group’s forecasts lead USDA estimates, market consensus, and corn futures closing prices. Neudata are the first third party to be made aware of these results.

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

Companies are more likely to share information to the public which demonstrates a high commitment to ESG standards. The same companies tend to avoid the disclosure of information that could reflect poorly on corporate practices. As an investor, one can overcome this issue by adopting an ‘outside-in’ approach through the use of alternative data sources.