Peter Hafez - Chief Data Scientist - RavenPack
| April 25, 2017
The new platform is powered by a new dataset, which takes advantage of our latest innovations in deep textual analysis, generating a 4.7x increase in the amount of events detected compared to RavenPack’s previous product. We call the new dataset: RavenPack Analytics!
At a very well-attended New York event, RavenPack recently launched a new self-service data and visualization platform - allowing us to move beyond the quantitative community with our data offerings. If you missed this event, you’ll get another chance to see the new self-service data and visualization platform in action at our upcoming
As part of our internal research, we recently took the new dataset for a spin - looking at one of the new key features -
. Event Relevance provides information on the prominence of an event within a document and goes beyond our previous
analytic that focused purely on the importance of a detected entity. As part of our analysis, we also considered the significance of event novelty by consulting our
Event Similarity Day
As shown below, we generally find that high event relevance events (with a 90 to 100 score) significantly outperform low relevance events. However, the latter seem more predictive for small cap vs. large cap companies - possibly driven by the fact that it’s more difficult for smaller companies to make headlines or to be the focus of a news story than it is for larger companies.
We also reconfirm that more novel events provide stronger risk-adjusted performance across our four size & region universes. However, this comes with the tradeoff of lower event volume as we filter more aggressively on the number of days required since a similar event was detected in the past (up to 365 days).
Overall, results show RavenPack's new data set yields higher risk-adjusted returns in both the U.S. and Europe across both large/mid-cap and small-cap companies. Specifically, we find:
Request the full white paper titled “
Introducing RavenPack Analytics for Equities
” for additional details about our methodology.
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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.