December 6, 2022
In this presentation, Paolo Andreini, Senior Data Scientist at RavenPack, introduced a macroeconomic nowcasting model,based on RavenPack EDGE, that can help predict real-time economic activity.
This year's RavenPack Research Symposium brought two intense days of knowledge sharing in London and New York, from 25 top experts in natural language processing, quantitative investing and machine learning. Together, we explored how firms can leverage new language models to generate alpha, better manage risk and respond to calls for more sustainable investment practices.
News and sentiment analytics can significantly improve timeliness and accuracy of traditional macroeconomic nowcasting models. Paolo presented a macroeconomic nowcasting model that leverages Sentiment analytics to help predict real-time economic activity. As research showed, this delivered higher returns across alternative passive strategies.
Watch the full recording here.
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Using a cutting-edge approach that incorporates at a large scale low-frequency macro-economic variables with high-frequency sentiment indicators, RavenPack is able to nowcast China's macroeconomic indicators with enhanced accuracy and timeliness.
RavenPack presents a macroeconomic nowcasting model that leverages its EDGE data platform to predict real-time economic activity of four important emerging market economies: Brazil, Russia, India and South Africa.