Executive Summary

The launch of the CGS Fullgoal Singapore Next 50 Active ETF (SGX: Q50) creates a useful new lens through which to examine a relatively under-researched part of Singapore’s equity market. Rather than simply replicating the iEdge Singapore Next 50 Index, Q50 will hold 30–50 securities, maintain at least 80% exposure to benchmark constituents, and use a six-factor quantitative process to determine which companies deserve larger, smaller or zero positions.

More revealing than the ETF wrapper is the portfolio produced by that process. Its July 2026 illustrative portfolio concentrated approximately 39% in five distinctly different businesses: Keppel Infrastructure Trust (SGX: A7RU), iFAST (SGX: AIY), Keppel REIT (SGX: K71U), Parkway Life REIT (SGX: C2PU) and Sheng Siong (SGX: OV8). That mix provides clues about the economic exposures embedded beyond the STI—and raises the central research question: can systematic stock selection turn greater dispersion in Singapore’s next tier into persistent excess returns after fees and trading costs?

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Singapore’s Next 50 Is More Than a Smaller-Cap STI

The Straits Times Index provides efficient exposure to Singapore’s largest listed companies, but its economic character is heavily influenced by the three local banks. Moving down the market-capitalisation spectrum changes that exposure considerably.

The iEdge Singapore Next 50 Index covers the next 50 sizeable and tradable Mainboard companies after excluding the largest 30. The benchmark applies free-float market capitalisation alongside liquidity and tradability considerations, and individual constituents are generally capped at 5% during rebalancing.

Its composition also evolves as companies move through the market-capitalisation rankings. AEM Holdings (SGX: AWX), Top Glove (SGX: BVA), UI Boustead REIT (SGX: UIBU) and PC Partner (SGX: PCT) entered during the June 2026 review, replacing Singapore Post (SGX: S08), Digital Core REIT (SGX: DCRU), Wee Hur (SGX: E3B) and China Sunsine Chemical Holdings (SGX: QES).

The opportunity is therefore not simply exposure to smaller companies. It is access to a different collection of economic drivers—including real estate, infrastructure, healthcare, consumer businesses, technology and industrial companies—that are much less prominent within the STI.

But replacing bank concentration does not eliminate concentration. It changes its source.

The Portfolio Is More Revealing Than the Benchmark

Q50 is not designed to reproduce the Next 50.

Under normal conditions, at least 80% of assets will be invested in Next 50 constituents, while as much as 20% can be deployed into other eligible SGX-listed companies. The strategy assesses securities across valuation, growth, earnings surprise, analyst sentiment, earnings quality and market characteristics before a portfolio optimiser incorporates risk, sector exposure and estimated transaction costs.

The illustrative portfolio dated 17 July 2026 demonstrates how consequential that flexibility could become.

Illustrative Holding	Portfolio Weight	Economic Exposure
Keppel Infrastructure Trust	9.15%	Infrastructure cash flows
iFAST	8.64%	Wealth management / digital banking
Keppel REIT	8.11%	Commercial real estate
Parkway Life REIT	7.19%	Healthcare real estate
Sheng Siong	6.09%	Defensive consumption

These five positions represented approximately 39% of the portfolio. The top 15 accounted for around 77%.

That concentration is important. Although Q50 may ultimately own 30–50 securities, its return profile could be driven disproportionately by a much smaller collection of companies.

The more interesting question, however, is what those companies collectively bring to the portfolio.

Five Large Positions, Five Different Earnings Engines

The model’s individual factor scores have not been disclosed in the supplied research. It would therefore be inappropriate to conclude, for example, that iFAST was selected specifically for growth or Keppel REIT specifically for valuation.

What can be examined independently is the operating profile represented by these large illustrative positions.

Keppel Infrastructure Trust: Contracted Cash Flows

Keppel Infrastructure Trust (SGX: A7RU) was the largest illustrative position at 9.15%, almost twice the benchmark’s normal 5% constituent cap at rebalancing.

Its latest results provide context for that weighting. For 1H 2026, KIT reported distributable income of S$101.1 million and DPU of 1.99 Singapore cents. Excluding the prior-year divestment gain, distributable income increased 1.2% year-on-year despite fuel-cost under-recovery at City Energy. The trust highlighted long-term contracts and pass-through mechanisms supporting its defensive infrastructure portfolio.

The exposure therefore introduces a relatively defensive cash-flow component into a portfolio otherwise positioned further down Singapore’s market-capitalisation spectrum.

iFAST: A Very Different Growth Profile

The second-largest position, iFAST (SGX: AIY) at 8.64%, represents almost the opposite earnings profile.

For 1H 2026, iFAST reported S$213.25 million of net revenue and S$57.89 million of net profit attributable to shareholders. Assets under administration reached S$36.13 billion at 30 June 2026. For perspective, full-year 2025 net profit was S$100.01 million.

Its presence alongside infrastructure and property vehicles demonstrates why describing the Next 50 simply as a higher-yielding extension of Singapore large caps misses an important part of the opportunity set.

Q50’s largest positions potentially combine companies at very different points in their earnings and capital-allocation cycles.

Parkway Life REIT: Defensive Property Exposure With Embedded Rental Growth

Parkway Life REIT (SGX: C2PU) adds another distinctive characteristic.

Its 1Q 2026 DPU increased 15.1% year-on-year to 4.42 cents, supported by higher Singapore hospital income following the end of a three-year rent rebate period and commencement of a new CPI-linked rent-review formula. Gross revenue nevertheless declined 2.1% to S$38.2 million, partly reflecting yen weakness and tenant exits from five Japanese nursing-home properties. Gearing stood at 34.2%, while its all-in debt cost was 1.66%.

This illustrates an important distinction within Q50’s property exposure. A large REIT allocation does not necessarily constitute a single economic bet: healthcare leases, office rents and hospitality assets can have substantially different operating drivers.

Sheng Siong: Domestic Defensive Growth

Sheng Siong (SGX: OV8), meanwhile, provides direct exposure to Singapore household consumption.

The supermarket operator reported 1Q 2026 revenue of S$452.8 million, up 12.4% year-on-year, while net profit increased 12.6% to S$43.4 million. Growth was supported by new stores and festive-period sales, with three additional stores secured for opening during 2026.

Its presence among the five largest illustrative holdings broadens the portfolio beyond rate-sensitive income securities and globally exposed industrial companies.

The Hidden Portfolio Question: Diversification or a Different Macro Bet?

Taken together, these positions reveal something more important than the number of stocks Q50 owns.

The strategy reduces reliance on the banking sector that dominates Singapore’s large-cap benchmark, but replaces it with a collection of other exposures: REIT valuations and financing costs, infrastructure cash flows, domestic consumption, technology-enabled financial services and mid-cap corporate earnings.

The illustrative portfolio also included Keppel Limited (SGX: BN4), DBS (SGX: D05) and Venture Corporation (SGX: V03) outside the Next 50 benchmark.

That makes the 20% off-benchmark allowance particularly important. It gives the model a mechanism to move capital toward larger Singapore companies when their factor characteristics become more attractive, rather than forcing the strategy to remain entirely within the Next 50 universe.

The result is better described as an actively constructed Singapore equity portfolio with a Next 50 anchor than as pure mid-cap exposure.

Can Greater Dispersion Be Converted Into Alpha?

Ultimately, portfolio construction only matters if the process produces sufficiently attractive outcomes after costs.

CGSI’s simulation from April 2021 to June 2026 produced a 7.99% annualised return versus 4.60% for the benchmark, equivalent to 3.39 percentage points of simulated annualised excess return. Tracking error was approximately 3.97%, the information ratio was 0.82 and maximum drawdown was 18.0%, compared with 22.1% for the benchmark.

Those numbers make the strategy worthy of observation, but they are not a live track record.

The simulation included estimated brokerage, bid-ask spreads and market impact but preceded deduction of the fund’s full expense ratio. With a stated management fee of 0.65% and target total expense ratio of approximately 1.2%, launch materials estimated annualised alpha after the target expense ratio at approximately 2.2%.

That creates a clear test for Q50 after launch: can its security selection consistently generate enough gross excess return to overcome the cost of active implementation?

Monthly rebalancing makes that question particularly relevant when some underlying securities have materially lower liquidity than STI constituents.

What Matters After the Backtest Ends

The most useful evidence will begin accumulating only after Q50 starts trading.

Headline fund returns alone will not reveal whether the investment process is working. More informative indicators will include active return against the Next 50 benchmark, realised tracking error, turnover and transaction costs, concentration among major positions, use of the 20% off-benchmark allocation and changes in sector exposure.

Performance attribution will be especially revealing. If excess returns eventually come predominantly from a few large positions, that would represent a different outcome from broad success across the six-factor process.

Likewise, asset growth deserves attention. A quantitative strategy operating further down the liquidity spectrum can encounter different implementation conditions as its capital base increases.

Key Risks & Mitigating Factors

• Factor decay: Valuation, growth, earnings revisions, sentiment and quality signals may become less effective over time. Using multiple factors reduces dependence on any single signal but cannot eliminate model risk.
• Portfolio concentration: The illustrative top five represented approximately 39% of assets. Position limits and optimisation provide controls, but company-specific developments could materially influence overall returns.
• REIT and rate sensitivity: Significant property exposure creates sensitivity to financing costs, property valuations and leasing conditions. The underlying REITs nevertheless have materially different property sectors and lease structures.
• Implementation costs: Monthly portfolio changes in less-liquid securities can create trading friction. The model explicitly incorporates liquidity and estimated costs, but live results will provide the real test.
• Backtest dependence: The 7.99% simulated annualised return is encouraging process evidence rather than realised performance. The approximately 1.2% target expense ratio creates a meaningful hurdle before excess returns reach investors.

The Dividend Uncle Research View

Q50 is most interesting not because Singapore has another ETF, but because it creates a systematic attempt to identify relative opportunity beyond the country’s largest 30 companies. Its illustrative portfolio already reveals considerable diversity in underlying earnings engines—from KIT’s infrastructure cash flows and Parkway Life REIT’s healthcare leases to iFAST’s faster-growing financial platform and Sheng Siong’s domestic consumer franchise. The central question is whether that diversity, combined with greater security-level dispersion, gives the six-factor process enough opportunity to generate persistent excess returns after costs. Until a live record develops, Q50 is better viewed as a satellite Singapore equity exposure rather than a substitute for broad-market core exposure. Its portfolio changes and eventual performance attribution could also provide a useful continuing window into where systematic signals are identifying opportunity across the Singapore market.

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