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.
News Sentiment: The Latest Pathway to Track and Trade Around ESG
Take advantage of news analytics to enhance ESG investing, from monitoring the performance of companies to building alpha-generating trading strategies.
A News Sentiment Analysis of the Italian Sovereign Debt Market in 2021
Research shows news analytics can provide an added dimension to sovereign debt analysis - what can it tell us about the impact on markets of the most recent crisis in the Camera?
Synechron and RavenPack Partner to Give Buy-Side Firms Access to Advanced Analytics Within ESG Booster and 360+ InvestTech Accelerator Solutions
Synechron Inc., a leading digital transformation consulting firm focused exclusively on the financial services industry, today announced its partnership with RavenPack, the leading data analytics provider for financial services.
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.
Profile of a Sentiment Trader
RavenPack data is used in an increasing number of academic fields for research work that involves quantifying market sentiment. The article below highlights one particular study from 2020 that makes original use of our data as part of a social profiling exercise.
Predicting a Historic Election with News Analysis
Predicting a Historic Election with News Analysis. How well did our monitor forecast the 2020 presidential election? Joe Biden won the presidential election by 306 electoral votes to Trump’s 229. The result is very close to RavenPack’s forecast of a Biden victory by a mean of 313 votes to 225 for Trump and places our prediction within 3% of the expected nationwide result.
Latest Research Papers
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.
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