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Neudata Launches Academic Literature Review Product

The new service will highlight academic research that is relevant to alternative data users in the financial services space

Neudata announced that it has launched Literature Review, a platform that provides overarching summaries of academic research papers from the financial data science community.

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All reviews will be written by Neudata analysts, who will source papers and provide recommendations on studies that help clients understand the role data plays in different investment scenarios. In addition to summarising each paper’s findings, analysts will share Neudata’s view on the datasets mentioned in the study and share additional data sources that can be used in similar use cases.

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In general, Neudata analysts will review papers that use alternative datasets the team has already covered or that answer clients’ frequently asked questions.

“In our first review, for example, we looked at several papers to answer a question we hear a lot from clients: ‘Can mobile app usage help predict stock returns?'” said Daryl Smith, Neudata’s Head of Research. “Our analysis of the research led us to conclude that app downloads can provide predictive power of future stock returns across the mobile app data ecosystem.”

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The reports are included in Neudata’s Scout subscription for buy-side clients. Academics who wish to submit a paper for review are not charged for their participation.

Neudata can also facilitate author introductions for readers who have specific questions on how the research can be deployed in their investment process or who want to collaborate on future research projects.

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