RavenPack Products
Powerful analytics and data solutions that provide investment and operational alpha
Unique data solutions for investment and business professionals
With award-winning data and analytics products, we are the leaders in transforming unstructured content into actionable insights. More than 70% of the best performing financial institutions incorporate RavenPack products in their day-to-day workflows.
Transform your textual data into a strategic asset
Internal documents, emails, instant messages, support tickets, and other textual data contain valuable information affecting your business. However, most of this text is unused because it is unstructured and hard to process. Using proprietary Natural Language Processing (NLP) technology, RavenPack solves this problem and helps users to extract valuable insights quickly and easily by transforming their unstructured text into structured data.
Insights generated systematically from over 22,000 sources of news and social media
RavenPack analyzes news and social media content from premium and web sources. Premium sources include publishers such as Dow Jones, Wall Street Journal, Barrons, MT Newswires, Benzinga, among others. Web content captures local, regional, and national newspapers as well as reputable blogs and content aggregator sites. Since 2003, News Analytics has been RavenPack’s flagship offering and a core input into many of the world’s most sophisticated data-driven asset managers.
A comprehensive and high-quality database of global insider transactions
Research shows that the behavior of corporate insiders provides consistent predictive power of the performance of a company. Insiders typically do well when trading their own company’s stock; buying when they think their company will outperform, and selling when they are uncertain or expect it will underperform. With RavenPack Insider Transactions, business professionals, investors and traders can accurately track the activity of insiders in their investment portfolios.
The most accurate corporate event data for business and investment professionals
RavenPack Corporate Events can help institutional investors and traders avoid surprises caused by unexpected company disclosures. Save time finding, monitoring and updating important and hard to find corporate event information. Create and revise trading and risk strategies based on anticipated volatility derived from corporate event updates as they happen. Avoid the costs of poorly timed investment and trading decisions.
Transform your textual data into a strategic asset
Internal documents, emails, instant messages, support tickets, and other textual data contain valuable information affecting your business. However, most of this text is unused because it is unstructured and hard to process. Using proprietary Natural Language Processing (NLP) technology, RavenPack solves this problem and helps users to extract valuable insights quickly and easily by transforming their unstructured text into structured data.
Insights generated systematically from over 22,000 sources of news and social media
RavenPack analyzes news and social media content from premium and web sources. Premium sources include publishers such as Dow Jones, Wall Street Journal, Barrons, MT Newswires, Benzinga, among others. Web content captures local, regional, and national newspapers as well as reputable blogs and content aggregator sites. Since 2003, News Analytics has been RavenPack’s flagship offering and a core input into many of the world’s most sophisticated data-driven asset managers.
A comprehensive and high-quality database of global insider transactions
Research shows that the behavior of corporate insiders provides consistent predictive power of the performance of a company. Insiders typically do well when trading their own company’s stock; buying when they think their company will outperform, and selling when they are uncertain or expect it will underperform. With RavenPack Insider Transactions, business professionals, investors and traders can accurately track the activity of insiders in their investment portfolios.
The most accurate corporate event data for business and investment professionals
RavenPack Corporate Events can help institutional investors and traders avoid surprises caused by unexpected company disclosures. Save time finding, monitoring and updating important and hard to find corporate event information. Create and revise trading and risk strategies based on anticipated volatility derived from corporate event updates as they happen. Avoid the costs of poorly timed investment and trading decisions.
Backed by Research
RavenPack News Analytics is the most published alternative dataset out there. Here are some of the latest research studies available.
research
Alpha Generation through Job Analytics: A Novel Approach to Measuring Tech Adoption
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.
research
Hedging Inflation Risk: A Nowcast Approach Under Risk Target Constraints
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.
research
Nowcasting China's Economic Activity with Real-time News Sentiment
Using a cutting-edge approach that incorporates at a large scale low-frequency macro-economic variables with high-frequency sentiment indicators, RavenPack is able to nowcast China's macroeconomic indicators with enhanced accuracy and timeliness.
research
Trading Credit Events in Corporate Bond Markets
News related to credit ratings, analyst ratings, and price targets can significantly impact bond prices. We looked at the impact of credit-related announcements on corporate bond prices using sentiment-based trading strategies that analyze media content.
research
Using Sentiment Data to Build an Inflation-based Allocation Strategy
High inflation has returned in developed markets after decades of lying low. In our latest paper, we show how to build an inflation-based asset allocation strategy using sentiment data and we illustrate that sentiment-based strategies outperform models that depend merely on past observed inflation values.
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