| June 08, 2021
RavenPack's Chief Data Scientist, Peter Hafez, will be presented at this years' ODSC
Europe event, where he will provide insights into using news analytics and graphs to
inform investment decisions.
Join Peter as he shares his valuable insights and use cases on how Natural Language
Processing (NLP) is an evolving field within machine learning that is impacting
financial markets by extracting value from unstructured content. The technology has been
instrumental in the continued adoption of alternative data in the investment industry,
and is contributing to the ever-expanding data mosaic available to hedge funds and asset
managers. In his talk, Peter will provide an overview of both common and more novel
sentiment use-cases within Equity, Macro and ESG investing. In addition, he'll show-case
how news co-mention networks can help investors improve their risk management and
June 9, 2021
12:00 p.m. -12:25 p.m. BST
Peter is a pioneer in the field of applied news analytics,
bringing alternative data to banks and hedge funds..
He has more than 15 years of experience in
quantitative finance with companies such as Standard & Poor's, Credit Suisse
First Boston, and Saxo Bank.
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High inflation has returned in developed markets after decades of lying low. In our latest paper, we show how to build an inflation-based asset allocation strategy using sentiment data and we illustrate that sentiment-based strategies outperform models that depend merely on past observed inflation values.
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.
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