John Gartman
FSI Principal Architect
Ryan Klapper
AI Analytics Engineer
As market volatility increases, organizations must adapt to swiftly changing conditions and make informed decisions backed by comprehensive data insights. With a growing number of third party tick data providers adding data apps to the Snowflake Marketplace, and transformative technologies like Cortex Analyst now in public preview, the future is bright for enterprises looking to unlock faster, more accurate financial insights by leveraging the unique capabilities of the Snowflake AI Data Cloud.
MAMBA’s latest enhancements, powered by Snowflake’s Cortex AI, build on this momentum in the Snowflake ecosystem by providing an innovative suite of tools designed to revolutionize financial research. These advanced research capabilities empower analysts to efficiently gather and analyze critical information, optimize portfolios, and enhance collaboration across teams.
In this blog, we will highlight some of the exciting new functionalities on the horizon, made possible by bringing MAMBA’s end-to-end asset management solution together with Cortex.
Advanced Research Analytics with Cortex Research Live
MAMBA’s introduction of the Research Live feature marks a significant leap forward in how financial research is conducted. This initiative leverages advancements in the Snowflake’s Cortex AI to automate data gathering, ensuring analysts have real-time access to crucial financial information.
By integrating advanced research analytics, Research Live enables users to quickly analyze breaking news, earnings releases, and economic announcements. This immediate access to data not only enhances analysis but also allows analysts to adjust strategies swiftly in response to market reactions.
The result is a more agile approach to research, one that aligns with the fast-paced nature of today’s financial markets.
Search Through Vast Amounts of Unstructured and Structured Data Using Cortex Search
With Cortex Search, MAMBA harnesses the power of AI to navigate the complexities of both unstructured and structured data. This capability allows analysts to rapidly sift through enormous datasets, uncovering insights that might otherwise remain hidden. These capabilities include:
- Event-Driven Analysis: Quickly analyze breaking news, earnings releases, or economic data announcements to understand market reactions and adjust your strategies accordingly.
- Thematic Investing: Identify emerging themes and trends (e.g., ESG, digital transformation) by analyzing large datasets of news, reports, and earnings calls. This could help in constructing thematic portfolios aligned with future growth areas.
- Portfolio Optimization: Integrate text-based sentiment and news analysis with quantitative factors to enhance portfolio optimization models, potentially improving risk-adjusted returns.
The ability to conduct event-driven analysis means analysts can quickly assess the impact of breaking news, economic announcements, or earnings releases on market trends and strategies. This advanced search functionality integrates seamlessly with portfolio optimization models, combining sentiment analysis and quantitative factors to improve risk-adjusted returns.
By leveraging Cortex Search, financial professionals can make faster, more informed decisions in an ever-changing market environment.
Leverage Generative AI to Create Comprehensive Research Notes Using Cortex Gen AI
MAMBA’s integration of Cortex revolutionizes the way analysts create research notes by harnessing the power of generative AI. With this tool, users can quickly generate summaries and digests that capture critical points such as revenue growth, strategic guidance, and management commentary.
- Earnings Call Summarization: Quickly generate summaries of earnings calls to identify key points such as revenue growth, guidance, and management commentary on strategic initiatives. This allows for rapid analysis and incorporation into financial models.
- Market News Digest: Create daily or weekly digests summarizing key market news, regulatory changes, or macroeconomic developments. These summaries can help you stay updated and provide quick insights for morning meetings or strategy sessions.
- Thematic Research Summarization: Summarize research papers, analyst reports, or financial blogs focused on specific themes like ESG (Environmental, Social, and Governance), digital transformation, or emerging markets, helping you to identify trends and opportunities faster.
This comprehensive approach enhances efficiency, accuracy, and scalability, allowing analysts to manage and interpret complex, unstructured data more effectively, and ultimately driving more insightful analyses and quicker decision-making.
Develop and Assign Custom Ratings with Greater Speed and Accuracy
MAMBA’s advanced Cortex capabilities empower analysts to develop and assign custom ratings with unparalleled speed and precision. Utilizing risk-adjusted metrics such as the Sharpe ratio, Sortino ratio, and Value at Risk (VaR), combined with sentiment analysis and macroeconomic indicators, analysts can create comprehensive ratings that factor in both returns and risks. These include:
- Risk-Adjusted Ratings: Develop ratings that account for both returns and risk, using metrics like Sharpe ratio, Sortino ratio, and Value at Risk (VaR), combined with sentiment analysis and macroeconomic indicators.
- Thematic and ESG Ratings: Create ratings that emphasize environmental, social, and governance (ESG) factors along with financial performance. This is useful for ESG-focused portfolios or sustainable investment strategies.
- Multi-Factor Models: Build multi-factor models that combine fundamental, technical, sentiment, and macroeconomic factors to provide more comprehensive portfolio ratings.
By leveraging Snowflake’s scalable infrastructure, advanced ML capabilities, and robust data management features, you can create dynamic, data-driven portfolio ratings that better inform investment strategies, enhance risk management, and provide a competitive edge in the financial markets.
Use Natural Language to Interact with MAMBA as if Speaking with Another Analyst
Integrating Snowflake Cortex Assistant into Hakkoda’s Mamba platform enhances user experience by making data interaction more intuitive, providing real-time insights, automating complex analytics, and enabling better decision-making.
- Portfolio Performance Review: Use the Cortex Assistant to automatically summarize portfolio performance, flagging significant contributors and detractors and providing an outlook based on sentiment and macroeconomic analysis.
- Custom Strategy Development: Develop custom investment strategies by interacting with the assistant, asking for analyses based on specific criteria such as dividend yield, growth potential, or risk metrics.
- Risk and Compliance Management: The assistant can provide real-time updates on compliance status, market risk exposure, or regulatory changes that could impact the portfolio.
Introduction of this more intuitive user experience not only saves time but also allows analysts to focus on high-value tasks, ultimately driving better investment decisions.
Tapping into Advanced Research Analytics with Hakkōda
MAMBA’s integration with Snowflake Cortex represents a transformative shift in financial research and data management. By leveraging advanced AI and machine learning capabilities, analysts can seamlessly automate complex tasks, derive actionable insights, and collaborate more effectively.
As the financial industry continues to evolve, the need for comprehensive, efficient, and intelligent research tools becomes increasingly crucial to making investment strategies faster and smarter at scale. MAMBA’s advanced research capabilities meet this demand head-on, ensuring that financial professionals are well-equipped to navigate the complexities of modern markets and deliver superior value to their clients.
Ready to explore how MAMBA’s new Cortex-powered advanced research capabilities can help your organization navigate market volatility and slash time to insight? Talk to one of our experts today.
