Content (5)
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White papers
Understanding private equity performance
Investors in private equity (PE) hope for the opportunity to earn higher cumulative returns in exchange for potential trade-offs like lower liquidity and manager selection. This is for good reason, as over the last 25 years, the Cambridge Associates US Private Equity Index had a pooled net return of 12.09%, compared with annualized returns of 8.46% and 9.38% for the Russell 2000 and the S&P 500 indices, respectively.
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White papers
IPOs aren’t dead, they’re just napping…
It would be a massive understatement to say that the IPO market has seen fluctuations over the past five years. Only four short years ago, US markets experienced a record-breaking 1,035 IPOs, driven largely by the near-zero interest-rate market environment.
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White papers
Commercial real estate debt market update
Commercial real estate (CRE) has long been established as a cornerstone asset within a wide range of investors’ portfolios. From individuals owning a US$250K rental home to institutions owning a US$250M high-rise apartment complex, CRE can offer diversification, consistent cash flows, a hedge on inflation, and a historically low correlation to other risk assets.
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White papers
Sizing private-market allocations
Interest in private-market allocations appears to continue its steady ascent in 2025. Historical returns and diversification potential are attracting a wide variety of asset owners, who are accessing everything from early-stage venture capital to investment-grade private placements through an expanding set of vehicles.
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White papers
Building the future: Advances in AI infrastructure for autonomous agents
The evolution of AI infrastructure for autonomous agents is reminiscent of the transformative impact that Transmission Control Protocols (TCPs) and other foundational protocols had on the early internet. Just as TCP/IP provided the essential framework for reliable data transmission and communication across diverse networks, modern AI infrastructure is laying the groundwork for autonomous agents to operate seamlessly and efficiently in complex environments.


