Video summary
Unlocking Asia's Growth: Architecting Wealth with SGX ETFs
Main summary
Key takeaways
Disclaimers & Sourcing Notes
- The speaker emphasizes that ETFs shown are not a blanket recommendation—some may fit certain investors, others may not.
- The speaker is a licensed financial advisor; viewers needing personalized advice should seek it separately.
- When naming specific ETFs, the speaker includes remarks such as “not a recommendation” / “for example only.”
Core Investing Problem: Idiosyncratic Risk (Why Diversification Matters)
Stock-picking risk
- Individual companies can be derailed by macro events and headlines (e.g., geopolitics, interest-rate direction).
- A key example highlighted is the effect of Federal Reserve rate changes.
“Rotten apples” analogy (idiosyncratic risk)
- Picking individual stocks is compared to selecting rotten apples: one bad choice can cause large concentrated losses.
- Example cited:
- If a stock drops 50%, it needs +100% to break even (simple math example referenced).
Why ETFs are emphasized
- An ETF is described as buying a basket of stocks (“pre-packaged fruits”).
- ETF downside is framed as:
- Unless the whole market crashes, not all underlying holdings necessarily go to zero.
Summary idea: diversification via ETFs reduces the chance that one issuer failure wipes out the portfolio.
ETF vs Other Vehicles (Stocks, Active Unit Trusts)
Single stocks
- Require fundamental + technical work.
- Higher idiosyncratic risk.
- No fund-manager fee.
- Trading flexibility (intraday/interday).
- Speaker mentions possible stock lending mechanics (e.g., via CDP for parties who short).
Active unit trusts
- Fund manager trades on your behalf.
- Lower chance the “whole portfolio goes to zero.”
- Fees/costs exist.
- End-of-day NAV pricing and often limited transparency (e.g., commonly only top 10 holdings shown).
- Described as not retail lendable (per speaker).
ETFs
- Generally passive: follows an index instead of discretionary stock picking.
- Typically lower cost.
- Transparency described as 100% via holdings disclosure (with guidance to use issuer websites).
- Intraday trading: prices update during market hours.
- Speaker describes ETFs as lendable (mechanics referenced generally).
SGX ETF Market Context & Currency Rationale
- Singapore ETF market size cited: ~SGD 20 billion (growth trend said to be increasing over recent years).
- Demand driver discussed:
- The SGD is described as having AAA credit rating, which attracts institutional capital and supports capital preservation behavior.
ETF Mechanics & Synthetic ETF Caution
Who participates in ETF creation/redemption
- Investor buys ETF units on the exchange.
- Authorized Participant (AP) assembles the basket of underlying index securities and delivers it to the ETF sponsor.
- The ETF sponsor issues ETF units.
Synthetic ETF disclosure
- Speaker cautions that if an ETF is synthetic, it may replicate exposure via derivatives/contracts.
- In synthetic structures, the speaker explains that you do not own the underlying stocks directly or indirectly.
Key Example: Singapore STI ETF (State Street) & Tracking Error
Example ETF
- Ticker: ES3 — State Street SPDR STI ETF
- Represents the top 30 Singapore stocks.
- Approximate major constituents cited:
- DBS ~26.6%
- OCBC ~16%
- UOB ~10%
- Singtel
- CapitaLand Integrated Commercial Trust (real estate)
- Singapore Airlines
Concentration warning
- STI ETF described as bank-skewed:
- ~50% to banks (per speaker).
Tracking error / lag
- ETF/index won’t match perfectly due to replication/implementation timing (“replication lag”).
- Speaker references tracking error and advises keeping it small.
Valuation/performance metrics referenced for ES3
- Example price: $5.21 per share (then scaled example: 10 shares = $50.21)
- Dividend yield mentioned: 3.36%
- Valuation multiples mentioned generally:
- Price-to-Book
- Price-to-Earnings
How performance is framed
- Not guaranteed, but the speaker attributes STI ETF recent uptrend to strong performance by the top 3 Singapore banks.
- It may drop sharply during bank sell-offs.
“Asset Bucket” Framework for SGX ETFs
The speaker organizes ETF ideas into practical buckets based on goals and risk.
1) Local blue chips (equity/income via banks & large caps)
- Example: STI ETF
2) Real estate income (REIT distributions)
- Uses S-REIT ETFs for quarterly/semi-annual income.
- REIT ticker examples and cited yields:
- SRT: IHS REIT (later mentioned with yield ~5.9%)
- CLR: Lion-Philip S-REIT Air Street (yield ~5.42%)
- CFA: Amwa Street Trading Asia REIT (yield ~5.26%)
3) Regional tech / higher growth themes (higher volatility)
- Examples mentioned:
- “CSI China? / CSI Star” (as referenced)
- China Next 50
- Hang Seng Tech ETF
- Caution: these can rise/fall quickly.
4) Conservative fixed income (capital preservation)
- Rationale cited: bank/fixed deposit rates around ~1% to 1.5%.
- Fixed income ETFs described as more defensive, less volatile.
- Bond ETF example:
- ABF Singapore Bond Index ETF — ticker A35
5) Gold (long-term inflation hedge)
- “Avoid storing gold bars at home”; “paper gold” referenced.
- SPDR Gold Shares — ticker GST
- Mentioned share classes: SGD and USD
ETF constraint mentioned: investors cannot choose which holdings to exclude/include inside the fund (e.g., if an ETF includes China REITs, you still get that exposure).
REITs: Yield Spread vs 10-Year Singapore Government Bond (Macro Lens)
Yield spread framework (explicit numbers)
- S-REIT yield: ~5.92%
- 10-year Singapore government bond yield: ~2.03%
- Yield spread ≈ the “risk premium.”
Historical tracking
- During 2021, SGX 10-year yield around ~2%.
- Speaker expects it could drop if the Fed cuts rates.
Mechanism described
- When REIT prices rally, yields drop to narrow the gap (“always have to close the gap”).
Current stance
- Speaker says the S-REIT yield spread is above the 10-year average ~3.67%.
- Implies REITs may be slightly undervalued / “more interesting.”
Tactical implication
- “Shopping” via REIT ETFs rather than single-REIT selection.
Specific REIT ETF Examples on SGX (Dividend & Expense Notes)
Five-ETF universe (as described)
1) Lion-Phil (CGS/CSOP/iEdge variants referenced by speaker) - Compared by yield, holdings count, and expense ratio.
2) CGS iShares S-REIT Leaders ETF - Holdings: 23 (per April snapshot mentioned) - Dividend payout: semi-annually (contrasted vs others) - 12-month dividend yield: described as slightly higher than Lion S-REIT (exact figure not clearly stated in that segment) - Expense ratio: ~0.6% - USD investability: can use USD - Top constituent names listed: - CapitaLand Integrated Commercial Trust - CapitaLand Ascendas Trust - Mapletree Logistics Trust - Keppel DC - Mapletree Industrial Trust
3) Singapore + overseas diversified REIT ETF (venue breakdown by speaker) - Example allocation by listing venue: - 65.2% on SGX - 6.1% Bursa - 12.7% Hong Kong - plus other markets - Holdings: 45 - 12-month dividend yield: ~5.54% - Dividend frequency: quarterly - Expense ratio: not clearly cited
4) Australia-focused REIT ETF - Dividend: ~4.39% (lower than Singapore REIT) - Mentions: Link REIT (HK), “Central REIT (Australia?)”, Stockland (Australia) - “Total underlying ~30” cited
5) Japan / “Green REIT” ETF - Japan exposure: ~30% - Sustainability/green theme - Holdings: ~50 - Dividend described as lower than Singapore REIT (exact figure not clearly stated)
How to Find ETF Information (Process Guidance)
The speaker directs viewers to:
- Use SGX listings and fact sheets.
- For the STI example (ES3):
- Search State Street / “SPDR” pages for ETF facts and download holdings (often Excel).
- For a holdings site used by the speaker:
- It aggregates holdings across pages (examples listed included CapitaLand DC, Ascendas REIT, ESR REIT, Starhill Global, CDL Trust, CapitaLand China Trust, Hospitality Trust).
- For bonds:
- Use the ABF fund page to view holdings and daily information.
Portfolio Construction Methodology: “Core + Satellite”
Step 1: Determine risk profile
- Conservative vs balanced vs aggressive.
- Near retirement: prioritize capital preservation and reduce drawdowns.
Step 2: Choose asset allocation (before ETF selection)
Example allocations mentioned:
- Conservative: heavier on bonds
- Example given: “30% hedge” (also mentions 10–20% possibilities)
- Balanced: 60/40 or 50/50
- Example illustration: 60% equities, 30% bonds, 10% gold
- Aggressive:
- Long runway (10–30 years) + regular investing
- Mix of equity ETFs, including:
- STI ETF (one example described as 100% equity in an aggressive illustration)
- Hang Seng Tech (with names like Alibaba, Tencent, Meituan, JD.com)
- Optionally S-REIT for income
Step 3: Build holdings using ETFs (“local building blocks”)
- Use ETF baskets for diversification rather than thousands of individual stocks.
Step 4: Decide execution rules
- Core long-term, satellite tactical (switch based on opportunities).
Core vs Satellite
- Core portfolio: long-term buy-and-hold; aims for growth + sustainable dividends.
- Satellite portfolio: thematic/tactical; shorter horizon (example given: switch into S-REIT ETF when valuations look attractive).
Execution / Trading Rules (Operational Guidance)
Use limit orders (not market orders)
- Reason: avoid wide bid-ask spread (BR spread), especially around open/close where slippage risk increases.
Avoid exact market open/close
- Speaker suggests:
- after ~9:30am (about 30 minutes after open), or
- 30–60 minutes before close.
Match trading time to the underlying market
- For SGX-listed underlyings (e.g., STI components): trade during SGX hours.
- For US ETFs: place orders during US market trading time, not only Singapore hours.
Lucky draw Q&A confirmed: - Correct order type to reduce slippage: Limit order - Correct trading time: during underlying market’s normal trading hours
Dollar-Cost Averaging (DCA) Guidance
When DCA is recommended
- DCA is framed as suitable when you have “unlimited bullets” (steady income + long horizon).
When not to DCA
- For individual stocks with weakening fundamentals/downtrend: do not DCA (risk can compound toward zero).
Why ETFs are treated as safer for DCA
- ETFs track indexes and are rebalanced over time (weaker constituents replaced).
Q&A: Performance, Valuation, and Macro Risks
REIT “high-yield trap” risk
- Speaker agrees it’s possible that if rates rise again (e.g., Fed hikes resume; MAS tightens), REIT prices can fall and erase dividend gains.
- Counterpoint provided:
- If fundamentals/cash flows are sustainable and share price doesn’t move much, dividend return may dominate.
Risk management approach suggested
- Keep REIT allocation aligned to your risk profile.
- Diversify across asset classes:
- pair REITs with banks,
- use bond ETFs (rate-sensitive relationship),
- use gold (inflation/FX effects).
Emerging Asia skepticism & “money rotation”
- Emerging Asia “growth story” depends on many moving parts.
- Concern about AI/semiconductor “bubble” (heavy capex and earnings timing).
- If US tech sells off:
- money may rotate into undervalued emerging Asia, dividend/value sectors, and value stocks.
Broad diversification recommendation
- Include:
- US exposure
- Emerging Asia + China exposure
- Tech exposure
- REIT
- Bonds
- Gold
- (broadly mentioned) commodities/fixed income categories
Notable Securities / Tickers / Assets Mentioned
SGX ETFs & benchmarks
- ES3: State Street SPDR STI ETF (top 30 Singapore stocks)
- GST: SPDR Gold Shares
- A35: ABF Singapore Bond Index ETF
- Hang Seng Tech ETF (ticker not provided in subtitles)
- “China Next 50” (ETF referenced)
- “China EV / future mobility” ETF (Amundi referenced; ticker not provided)
- “Lion Nomura Japan Active ETF” (ticker not provided)
REIT ETFs / instruments
- SRT, CLR, CFA (REIT examples with yields cited)
- Multiple S-REIT ETF comparisons on SGX; specific ticker example included CRR (for CGS iShares S-REIT Leaders ETF)
Company holdings referenced (examples)
- DBS, OCBC, UOB
- Singtel
- Singapore Airlines
- CapitaLand Integrated Commercial Trust
- Related CapitaLand trusts:
- CapitaLand Ascendas Trust
- (and other CapitaLand-related trusts named in context)
- Constituents cited across REIT examples:
- CapitaLand Ascendas Trust
- Mapletree Logistics Trust
- Keppel DC
- Mapletree Industrial Trust
- Tech constituents referenced (Hang Seng Tech example):
- Alibaba, Tencent, Meituan, JD.com
- China EV/future mobility holdings listed:
- CATL, Geely, BYD, Li Auto, NIO, Contemporary Amperex Technology
Other instruments mentioned
- “Paper gold” concept (vs gold bars at home)
- 10-year Singapore government bond yield: 2.03%
- Fixed deposit interest: ~1%–1.5%
- Yield spread average: ~3.67%
- Distribution yield for S-REIT: ~5.92%
Key Numbers Highlighted
- Break-even math example:
- -50% requires +100% to recover
- STI ETF (ES3) example:
- Price: $5.21/share
- Dividend yield: 3.36%
- Banks concentration: ~50%
- S-REIT vs bond:
- S-REIT yield: ~5.92%
- 10-year SG bond yield: ~2.03%
- Yield spread average: ~3.67%
- REIT ETF example:
- CGS iShares S-REIT Leaders expense ratio: ~0.6%
- Dividend yields mentioned across buckets:
- ~5.92%, ~5.54%, ~4.39% (with Japan/australia lower than Singapore; Japan yield not clearly specified)
Presenters / Sources Mentioned
- Presenter: Kenny Law
- Handles/links referenced:
- @kenny_law
- readsavvy.com
- @readsavvyatthemoontothemoon.com
- YouTube: @kennylawfinancialwisdom
- Handles/links referenced:
- Co-host/moderator referenced: Wan Ling
- Additional reference: REIT Savvy (used for yield spread chart/report)
- ETF brands/fund managers referenced (by brand as described):
- State Street SPDR (State Street)
- BlackRock
- JP Morgan
- Lion Global
- Amundi
- CSOP / iEdge / CGS iShares