Mitigating Risk Using RavenPack Analytics: A Research Roundtable
A growing corpus of research shows that news analytics data has proven useful in forecasting market volatility
Trading Around the Earnings Calendar
Our recent data science study about calendar earnings changes and news sentiment shows evidence of alpha generation
2020 Research Summary: 12 Validated New Ways to Capture Alpha
Evidence that news analytics and sentiment data provides original sources of alpha not already factored in by existing indicators and models.
News Sentiment as a Factor For Enhancing Quantitative Investment Strategies for Asia Pacific Stocks
In this study, RavenPack data scientists sought to isolate and quantify the additional value provided by news sentiment both by itself and on top of other more traditional factors in trading Asia Pacific equities.
Forex, Carry, Value, and Momentum - Boosted by Sentiment?
The multi-trillion Dollar FX market was the focus of our latest study which sought to find out whether traditional factors such as Carry, Value and Momentum could be enhanced with news sentiment.
Market Overreactions after Negative ESG News - A Global Phenomenon?
Ethical investing considerations are now so pronounced they are impacting on market structure, but how widespread is the phenomenon outside the U.S.? A recent study investigates.
European Insider Transactions Strategies Overlaid with Sentiment
Trades made by company insiders can offer clues as to future market direction - and whilst prior studies have proven its efficacy at a global level, how well does it perform for European stocks?
APAC Insider Transactions Strategies Overlaid with Sentiment
How can investors use insider transactions overlaid with sentiment data to drive alpha and what are the results if applied to portfolios from the Asia Pacific region? RavenPack’s latest white paper investigates.
Latest Blog Articles
Watch: Understanding Risk Through the Data Mosaic
Presented by Peter Hafez at AI and Data Science in Trading Virtual Event 2021
Bridging the Quantamental Divide: Applications in 2020 and 2021
Quantamental investing is an increasingly popular hybrid approach that combines scientific rigor with discretionary verve. How did the approach prove useful in 2020 and how might it be applied to market themes in 2021?
The Next Chapter in Big Data: Exploring Data Mosaics Podcast
Converting this data into meaningful insights is an ever-evolving task that requires creativity, up-to-date technology and access to talent. Marko will explore how companies transition from old-fashioned decision-making based on heuristics to a data-driven approach that synthesizes technology and big data.
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