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Vic Chen
Vic Chen

Posted on • Originally published at 13finsight.com

Malaysia's EPF Put 48.7% of Its U.S. Portfolio in Just 10 Stocks — Nearly Half the Book in One Page

Malaysia's Employees Provident Fund (EPF) concentrated 48.7% of its U.S. equity portfolio in just 10 holdings in Q4 2025. NVIDIA, Microsoft, and Meta lead the pack. Nearly half of a sovereign pension fund's U.S. equity allocation in 10 names.

For a sovereign pension responsible for 15+ million Malaysian workers' retirement, 48.7% concentration tells you exactly how the fund views the current market.

The top-10 breakdown

Rank Approximate holdings
1-3 NVDA, MSFT, META — AI/tech core
4-5 GOOGL + others — mega-cap tech
6-10 Mix including MU and other names
Top-10 total 48.7% of portfolio

48.7% concentration: where it sits

Manager Top-10 weight Category
Berkshire ~70% Extreme conviction
ARK Invest ~50% Thematic concentration
EPF (Malaysia) 48.7% High conviction for a pension
Jennison 47.6% Growth conviction
CalPERS ~47% (with VOO) Index + overlay
S&P 500 ~35% Market baseline
MFS ~30% Diversified active
DFA <20% Anti-concentration

EPF at 48.7% is MORE concentrated than CalPERS and significantly above the S&P 500 baseline. For a sovereign pension, this is aggressive positioning.

Why 48.7% from a sovereign pension is different

Pension fund constraints

Sovereign pensions typically operate under:

  • Conservative risk mandates (protect retirement savings)
  • Diversification requirements (don't put eggs in one basket)
  • Regulatory oversight (government accountability)
  • Multi-decade time horizons (stability over excitement)

What 48.7% means in this context

EPF's top-10 concentration exceeding the S&P 500's natural concentration means:

  1. Deliberate overweighting: Someone approved this concentration level
  2. AI thesis at the governance level: The EPF board signed off on heavy AI exposure
  3. Deviation from benchmark: This isn't closet indexing — it's an active bet

The NVDA-MSFT-META trio

The top 3 (NVDA, MSFT, META) represent EPF's AI thesis across three layers:

Stock Role in AI ecosystem EPF thesis
NVIDIA AI compute hardware GPU monopoly for AI training
Microsoft AI platform + enterprise Azure AI + OpenAI partnership
Meta AI consumer + infrastructure AI-powered ads + Llama models

This isn't random mega-cap exposure. It's a deliberate bet on three companies that each control a critical layer of the AI value chain.

What 48.7% top-10 means for risk

Upside scenario

If the AI trade continues and NVDA/MSFT/META outperform, EPF's U.S. equity returns will significantly outperform the benchmark. Malaysian retirees benefit from being early to the AI thesis.

Downside scenario

If the AI trade reverses (valuation compression, capex deceleration, regulatory backlash), 48.7% concentration amplifies the losses. A 30% decline in the top 3 would cost the portfolio ~15% from those positions alone.

The risk management question

EPF's total AUM is ~$250B+, with the vast majority in Malaysian government bonds, real estate, and domestic equities. The $13.6B U.S. equity portfolio is ~5% of total assets. So the 48.7% concentration is within a small sleeve — the actual fund-level risk is managed.

Cross-reference with other sovereign pensions

Are other sovereign pensions similarly concentrated?

Fund Top-10 weight AI conviction
EPF (Malaysia) 48.7% Very high
CPPIB (Canada) ~moderate Moderate
CalPERS (U.S.) ~47% (VOO-heavy) ETF-driven
Swiss National Bank ~index Low (passive)
Norway GPFG ~index Low (broad)

EPF stands out as the most AI-convicted sovereign pension in the 13F database.


Originally published at 13F Insight

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