Pension funds need restructured data for risk analysis, MSCI says

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Pension funds data for risk analysis

Highlights

MSCI reports that pension funds require position-level, structured, and timely data for accurate risk and performance analysis beyond standard accounting data.
MSCI stresses look-through access to underlying holdings in funds-of-funds, private funds, and commingled vehicles to properly measure concentration, factor exposure, and asset allocation.
Total portfolio models that integrate public and private asset data from various sources enable comprehensive risk assessment and performance measurement for pension funds.

Data structure gaps in portfolio analysis

As reported by MSCI, accounting data can remain fully accurate while still falling short for risk and performance work because it is not organized for those analytical uses.

The firm says analysis-ready data must be structured, tagged and complete enough to answer a specific investment question, rather than merely support valuation and financial reporting. For pension funds, that means position-level granularity, consistent security identification and classification, and reporting timeliness that matches how often investment teams monitor allocations and exposures.

MSCI also highlights the need for look-through access to underlying holdings in funds-of-funds, private funds and commingled vehicles. Without that detail, plans may only see a single net-asset value line instead of the underlying securities, limiting their ability to measure concentration, factor exposure and asset allocation across the full portfolio.

Total portfolio models expand risk visibility

A common weakness emerges when pension plans run factor-based risk models alongside accounting-driven systems. If the risk model cannot see the underlying positions inside commingled or private-market structures, the total-fund risk picture contains blind spots, particularly as private-asset allocations grow.

MSCI says a total portfolio view can bridge that gap by sitting between accounting systems and risk or performance tools. In that setup, data from custodians, administrators and accounting platforms is reshaped into a single position-level, look-through model covering both public and private assets, then used for performance measurement, liquidity modeling, exposure analysis and risk assessment.

The company’s main conclusion is that analysis-ready data is not simply a better feed, but the same underlying information deliberately restructured for a different purpose. For pension funds, that restructuring step is increasingly central to building a complete view of portfolio risk and performance.

Our earlier coverage of the Philippine Social Security System (SSS) focused on how the state pension fund framed its equity results, emphasizing long-term realized gains and dividend income while arguing that recent unrealized losses are not cash losses unless assets are sold. SSS highlighted its disciplined, diversified approach, ongoing income from dividends, and internal oversight processes used to monitor portfolio performance and risk.

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