According to Eagle Alpha, their China Auto Insight (CAI) dataset is provided through an exclusive partnership with a leading Chinese financial automotive consultant.
Winton Capital Management organized a data science workshop at its San Francisco office that opened last year.
On 10 March 2017, Citi published a report titled “Searching for Alpha: Big Data.” 9 pages of the report are devoted to Eagle Alpha and our database of alternative data providers, including detailed case studies on 5 data sources.
In its recent Global Equity Outlook, BlackRock outlined its position on the attractiveness of China’s equities: “Making money in Chinese stocks requires dropping one’s preconceptions, paying close attention to policy priorities and using new data sources to generate ideas.
Trade nowcasting indicators provide valuable insights into international trade and industrial production.
In our recent conversations with industry partners, there is one issue that comes up repeatedly – the issue of explanation, i.e. explanation of machine learning models, the associated transparency and trust.
The data provides unparalleled granularity on shipping trends in a very timely fashion. This has demonstrated a strong relationship with multiple economic variables including trade balances and company revenues.
There are several advantages to using search data as a determinant of economic activity. The data is very timely, it has over 10 years of history, it is unique and offers unparalleled flexibility in terms of variety issues that can be analyzed.
Trade nowcasting indicators provide valuable insights into international trade and industrial production.
Asset managers use information derived from satellite data analytics providers to assist in their estimation of revenues of companies in various sectors, including retail, oil and gas and construction.
In this report, we demonstrate the value of Eagle Alpha’s China Auto Insight (CAI) dataset in analyzing the Chinese auto industry.
