MSCI (MSCI) 2026 RBC Capital Markets Global Financial Institutions Conference summary
Event summary combining transcript, slides, and related documents.
2026 RBC Capital Markets Global Financial Institutions Conference summary
10 Mar, 2026Business model and data differentiation
Proprietary data from GPs and LPs forms the core, with derived analytics and benchmarks built on decades of historical datasets.
Acquisition of Burgiss and RCA expanded data depth, especially in private equity, credit, and real estate, with robust time series since the 1980s.
Data is sourced directly from asset owners, not via FOIA or manager contributions, ensuring high quality and reliability.
Integration across asset classes enables a holistic, cross-asset offering rather than siloed business lines.
Differentiation comes from proprietary methodologies and intellectual property in analytics and benchmarks.
AI and technology strategy
Generative AI accelerates data ingestion, normalization, and extraction, reducing costs and increasing speed.
AI is used internally for product design, rapid prototyping, and engineering, boosting operational efficiency.
Client-facing tools now feature natural language interfaces and connectors to major LLM providers for flexible data access.
Agentic AI is being developed to automate complex analytical tasks and interact with client-side agents.
AI-driven innovation is central to new product development and platform enhancements.
Market trends, headwinds, and growth drivers
Real assets faced secular challenges post-2022 due to rising rates and COVID, but repositioning focuses on closed-end funds and new asset types like data centers.
Private capital business is seeing strong growth post-Burgiss integration, with global sales and client engagement accelerating.
Secondary trading in private equity is booming, driven by liquidity gaps and delayed distributions, creating demand for analytics and indexation tools.
Private credit faces concerns over credit quality and liquidity, but transparency and risk tools, including Moody's Analytics, address these needs.
Demand for transparency and rigorous portfolio construction is rising, especially as private assets become a larger allocation in institutional and wealth portfolios.
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