The Liquidity Paradox of Private Assets and Retail Expectations

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Anthony Catino
Anthony Catino

Managing Director

September 9, 2026

2 min read

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Semi-liquid fund structures exist to solve a specific problem. Retail investors want exposure to the outperformance potential of private markets, but they also expect the transparency and periodic access to capital that public market products have trained them to expect. Interval funds, tender offer funds, non-traded BDCs and non-traded REITs were designed to bridge that gap, offering measured liquidity windows alongside illiquid holdings.

This strategy works well under normal conditions, but becomes far less stable under stress. The underlying tension between illiquid assets and liquid promises does not disappear simply because a fund has been structured to manage it. It resurfaces, often at the worst possible moment.

When the Mismatch Becomes a Crisis

The 2022 rate environment offered a clear illustration. As rising rates pressured valuations, many non-traded REITs experienced a wave of redemption requests that outpaced the liquidity available from their underlying illiquid real estate holdings. Funds were forced to activate redemption gates and alter payout terms, disrupting the very liquidity promise that had initially attracted retail investors.

A similar pattern played out among BDCs in the first half of 2026. Investor unease over AI-driven disruption triggered a spike in redemption demands, concentrated heavily among funds with significant technology sector exposure. The liquidity mismatch between what investors wanted to withdraw and what the underlying private credit holdings could support pushed BDC boards toward pro-rata gating, limiting payouts to a fraction of requested amounts.

Both episodes point to the same structural risk. Semi-liquid vehicles are, by design, managing a timing gap between asset liquidity and investor expectations, and that gap widens precisely when market conditions make it hardest to close.

Why Manual Tracking Cannot Keep Pace

For managers still relying on spreadsheets or general-purpose tools to monitor liquidity positions, this risk is amplified by an operational blind spot. Manually tracking liquidity buckets across a diverse portfolio of illiquid assets creates delay precisely when insights matter most. By the time a manual process surfaces a liquidity shortfall, redemption requests may have already outpaced the fund's practical capacity to meet them.

This is a regulatory liability. Boards are required to exercise informed governance over redemption decisions and gating provisions, and that governance depends on having current, defensible data rather than a lagging snapshot. A gating decision based on outdated information is difficult to justify to regulators or investors after the fact, and a fund that mismanages a redemption event risks lasting reputational damage well beyond the immediate financial impact.

Real-Time Visibility as Risk Management

Precision risk management depends on knowing exactly how much liquidity a fund can generate and over what time horizon. That requires real-time visibility into liquidity buckets across the entire portfolio, not a periodic reconciliation performed after redemption requests have already been submitted.

SS&C's integrated technology gives managers exactly this kind of visibility, combining fund accounting and investor data into a single environment where liquidity positions can be monitored continuously rather than assembled after the fact. That precision allows managers to model redemption scenarios before they materialize, size tender offers against actual liquidity capacity and support gating decisions with data that can withstand regulatory and investor scrutiny. Rather than reacting to a liquidity event, managers gain the tools to anticipate one and respond in ways that protect both fund stability and investor confidence.

Liquidity risk can jeopardize your fund's reputation overnight. Download our "When Private Goes Public" white paper to learn more about how to balance growth with operational stability.

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