Track events that can impact companies’ credit ratings, macro events that
influence sovereign debt markets, and macroeconomic and geopolitical events
impacting interest rates.
Research shows that real-time news sentiment can significantly enhance the performance of traditional value, carry, momentum, and defensive style factors in the cross-section of developed market sovereign bonds.
RavenPack data enable you to access a broad variety of relevant signals from macro sentiment indicators to company-specific news:
With a global reach and over 40,000 curated sources, RavenPack captures unique insights
that serve the needs of fixed income traders.
Detect early signs of change in central bank policy.
Sentiment analysis can add a new dimension to interest rate forecasting models.
Outperform traditional benchmarks using RavenPack’s custom sentiment indicators to optimize portfolio allocations.
Uncover patterns and trends through event detection and keyword search to identify drivers of secular trends.
Detect market abuse, build early warning systems, and rapidly mitigate risks as they transpire.
Enhance bond spread volatility forecasting using macro news sentiment.
Research studies have shown the specific value of sentiment data to generate profitable equity
strategies in the US, in Europe, and in Asia.
Real-time news sentiment can significantly enhance the performance of traditional value, carry, momentum, and defensive style factors in the cross-section of developed market sovereign bonds.
In this white paper, author Gábor Komáromi, Head of Fixed Income Analytics at RavenPack, turns his attention to how alternative data provided by RavenPack can be purposed for leveraged loan trading.
The results of this study suggest sentiment data can provide a basis for forecasting the Italian (BTP) and German government bond (bund) spreads.
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