| 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.
Please use your business email. If you don't have one, please email us at firstname.lastname@example.org.
We will process your personal data with the purpose of managing your personal account on
RavenPack and offering our services. You can exercise your rights of access, rectification,
erasure, restriction of processing, data portability and objection by emailing us at email@example.com. For more information, you can
Your request has been recorded and a team member will be in touch soon.
We consider incorporating sentiment signals from news, earnings call transcripts, and insider transactions to
boost the risk-adjusted returns, and revive factor performance.
We find stronger, more predictable market reactions when the words of company executives agree with their actions.
We have gathered 12 insights from 2021 research that can be leveraged in 2022.