Equities
April 20, 2023
RavenPack is introducing a multidimensional approach to news analytics that captures the evolving complexity of news, enabling traders to build more dynamic and transparent strategies.
News is not static — it fluctuates in volume and importance. This affects its trading relevance and impact, especially considering that markets are also constantly evolving. Moreover, investor competition using similar insights can reduce the effectiveness of certain signals, including news sentiment.
Our latest white paper introduces a model that leverages Feature Hierarchy Trees to dynamically create and combine signals extracted from RavenPack News Analytics.
Feature Hierarchy Trees break large sets of data into smaller features and organize them hierarchically based on importance. This enables us to look at numerous dimensions in the RavenPack Edge News Analytics such as event taxonomy, relevance and novelty data from various perspectives. This approach enhances transparency, robustness, and flexibility in the portfolio construction process.
Leveraging this approach, the research revealed that:
Tracking a broader set of events is becoming increasingly important over time. Guidance events are also considered to be important predictors.
The dynamics of the model allows it to accommodate changes in news content and market conditions over time. For example, it captures a decay in earnings signals during 2019-2021, or a growth in partnerships events after 2017 (for daily horizons).
The model provides robustness across various parameter configurations, as well as a flexibility to adjust the balance between signal strength and volume by selecting features with varying confidence and relevance thresholds.
When applied to long-short equity portfolio construction, our model demonstrates a significant improvement in performance compared to benchmark models, with an average relative increase of 20% in Annualized Returns and 10% in Information Ratio. This outperformance is extended into longer holding periods of up to 1 month.
Please use your business email. If you don't have one, please email us at info@ravenpack.com.
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 privacy@ravenpack.com. For more information, you can check out our Privacy Policy.
Your request has been recorded and a team member will be in touch soon.
New research using RavenPack Job Analytics to quantify tech adoption in hiring posts proves that companies hiring for novel tech skills outperform peers from an investment perspective.
Our multi-asset allocation strategy based on inflation nowcasts and RavenPack sentiment analytics outperforms the S&P 500 and stabilizes volatility. With real Sharpe ratios of up to 1.25 and a risk control approach, it delivers a compelling inflation hedge for investors.