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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.
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Anticipating the next NFP Surprise? Mind the Sentiment!
The US economy was expected to have added nearly 1m jobs in April, but what came out on the 7th of May was a meagre +266k. Could news sentiment have helped us see the negative NFP surprise coming and is it something we should be adding to our NFP checklist going forward?
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News Analytics Data Can Help Forewarn of Market Risks
Traditionally used by hedge funds to drive alpha-generating strategies, news analytics data also has applications for assessing financial market risks, as the deep dive into the research below shows.
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Watch: Understanding Risk Through the Data Mosaic
Presented by Peter Hafez at AI and Data Science in Trading Virtual Event 2021
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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?
research
Trading Around the Earnings Calendar
Our recent data science study about calendar earnings changes and news sentiment shows evidence of alpha generation
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10 Things We Learned From News Analytics in 2020
Events such as COVID-19 and the U.S. presidential elections have made 2020 a year unlike any other. Below is a summary of 10 of the most interesting data insights we drew from news analytics and sentiment data in 2020.
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RavenPack Indicator Warned of Latest UK Lockdown, Election News Eclipses COVID, RavenPack Data in Academic Studies
In this update, we focus on how our Coronavirus monitor is reflecting the hype around the U.S. Presidential Election, we revisit our lockdown indicator to see how well it would have forecasted the new lockdown in the UK, and we highlight some noteworthy academic studies from the rising tide of research making use of our Coronavirus data.
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AI & Data Science in Trading: Using NLP to Forecast Market Movements
Watch RavenPack's SVP of Corporate Strategy, Aakarsh Ramchandani discuss deploying NLP models, text analytics and leveraging neural networks for quantitative market forecasting at the AI & Data Science in Trading webinar.
Latest Research Papers
Combining insider transactions with earnings call transcripts signals
Insider transactions data provides investors with insights into how C-level executives interpret their own information flow and form their views on potential mispricings in the market. On the other hand, earnings call transcripts give investors an opportunity to gain additional insights into the fundamental performance of a company.
From Earnings News to Earnings Intelligence: Combining News and Earnings-call Transcripts
In recent research (Hafez 2021), we introduced our Transcripts product and demonstrated how trading signals generated from earnings call transcripts can be used to construct portfolios that outperform the market across trading horizons ranging from days to a month.
Uncover Alpha with Earnings Calls Transcript Data
Incorporating Earnings Calls transcript data increases IR to 1.4 for US Mid/Large Caps and 2.3 for Small Caps.
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