| January 13, 2020
In the last year, both our own and independent research continues to make a strong case for RavenPack news sentiment data adding substantial value to investment decision-making.
The 10 studies summarized in this white paper evidence how sentiment data derived from news and events can be applied across the whole gamut of trading activities - from long to short sell, day to longer-term, discretionary to systematic.
They provide compelling evidence that strategies incorporating RavenPack news sentiment can generate gains well in excess of a risk-free return, sometimes considerably higher.
The research covers long and short term investing in diverse asset fields, including fixed income, equity, and FX, as well as environmental, social and governance investing, and applications to trading M&A.
Sounds promising, right? Check out what’s inside the
We’ve saved you the trouble of trawling through all the long white papers proving the science behind the results (although they are available via links), by summarising and curating a selection of the top 10 performing strategies of 2019.
Request the White Paper today
Easily implement the above research or similar using the RavenPack Analytics Platform, which includes news sentiment data on over 250,000 individual entities and 6,800+ market-moving events, available on visual dashboards or via web APIs. Request a trial today.
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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.