Nasdaq Adds New Alt Data to Analytics Hub
Nasdaq has bolstered its Analytics Hub with four new sources of alternative data.
Nasdaq rolled out a series of new datasets as part of its Analytics Hub marketplace of alternative data last month as part of the exchange’s ongoing efforts to broaden its alt data offering, officials say.
The new datasets include ESG (environmental, social and governance) data, social media sentiment, global news, and supply chain relationships between companies.
The ESG data leverages data from Nasdaq’s 2017 acquisition of fund analytics provider eVestment, which is making its eVestment ESG dataset available exclusively through Analytics Hub. The data—which includes aggregated and anonymized content from eVestment’s investment platform, along with data science from ESG stocks and funds, and trends in the ESG market—allows users to filter and identify ESG-friendly investments, enabling investors and consultants to make investment decisions and recommendations in line with international ESG standards.
Another dataset provided exclusively via Analytics Hub is New York- and Miami-based social media analytics provider iSentium’s Social Media Sentiment, a new model based on a monthly investment horizon, which uses artificial intelligence and natural-language processing to extract and transform unstructured social media sentiment into actionable scores for longer-term, equities-focused long/short strategies (with a holding period of less than 30 days). The iSentium Sentiment Strength Index and descriptions are based on hourly granularity and daily (close to closing price) indicators.
The new data also includes a Global News Exposure dataset that qualifies relationships between entities in international media and financial news, including financial systems, global news and information, supply chains and volatility networks, enabling investors to create risk profiles to support investments in global macro and entity-level strategies.
The final dataset, Supply Chain Network Exposure, measures global and regional supply chain information to spot relationships between companies, using a proprietary “knowledge graph” to identify critical and well-positioned companies, to help investors manage risk and maximize returns.
Nasdaq officials were unavailable for comment on the new datasets.
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