Fund index
VOO
116 articles on this site analyse VOO — 20 of them head-on.
Measured concentration
as of 2026-06-30VOO reports 513 positions, but the weights make it behave like about 51.5 equally weighted ones. Computed by this site from the fund's SEC Form N-PORT filing — see what this measure does not tell you and the full table.
The same filing says what kind of price those positions carry: 100% of VOO is held at a quoted market price, from a single issuer country . Comparisons across every fund are in the valuation table, and what a low share does and does not mean is worth reading before drawing a conclusion from it.
Every filing since 2019
28Between 2019-09-30 and 2026-06-30, VOO went from behaving like 112 equally weighted positions to 51.5 — 54% fewer, while its top ten went from 21.5% to 36.4% of net assets. Read across the funds on the concentration-over-time table.
| Period | Holdings | Effective | Top 10 | Largest |
|---|---|---|---|---|
| 2026-06-30 | 513 | 51.5 | 36.4% | 7.51% |
| 2026-03-31 | 511 | 51.3 | 36.49% | 7.58% |
| 2025-12-31 | 507 | 45.8 | 39.2% | 7.75% |
| 2025-09-30 | 526 | 45.4 | 38.83% | 7.97% |
| 2025-06-30 | 536 | 49 | 36.68% | 7.35% |
| 2025-03-31 | 515 | 56.6 | 33.56% | 7.01% |
| 2024-12-31 | 507 | 48.3 | 37.29% | 7.59% |
| 2024-09-30 | 511 | 52.4 | 34.59% | 7.26% |
| 2024-06-30 | 509 | 49.8 | 35.81% | 7.26% |
| 2024-03-31 | 513 | 60.4 | 32.11% | 7.08% |
| 2023-12-31 | 523 | 61.7 | 30.78% | 7.01% |
| 2023-09-30 | 507 | 64 | 30.51% | 6.98% |
| 2023-06-30 | 517 | 60.4 | 30.42% | 7.7% |
| 2023-03-31 | 512 | 70.2 | 27.3% | 7.12% |
| 2022-12-31 | 512 | 85.5 | 24.31% | 6.03% |
| 2022-09-30 | 506 | 72.5 | 27.64% | 6.89% |
| 2022-06-30 | 507 | 74.7 | 26.81% | 6.56% |
| 2022-03-31 | 513 | 67.6 | 29.31% | 7.03% |
| 2021-12-31 | 515 | 68.1 | 29.2% | 6.83% |
| 2021-09-30 | 514 | 74.8 | 28.01% | 6.06% |
| 2021-06-30 | 516 | 77 | 27.32% | 5.89% |
| 2021-03-31 | 526 | 81.9 | 26.23% | 5.71% |
| 2020-12-31 | 521 | 72.9 | 27.28% | 6.68% |
| 2020-09-30 | 519 | 69 | 27.82% | 6.65% |
| 2020-06-30 | 520 | 74.2 | 26.83% | 6% |
| 2020-03-31 | 523 | 85 | 25.14% | 5.58% |
| 2019-12-31 | 523 | 103.7 | 22.58% | 4.57% |
| 2019-09-30 | 521 | 112 | 21.5% | 4.29% |
One row per filed reporting period, newest first, read from EDGAR. Quarterly because that is the public filing cadence. Rows marked * are published but held out of the comparison above; the methodology page says when and why.
Most often compared against
6Measures applied to it
8All articles
116-
Factor Crowding and Alpha Decay: What Happens to a Premium After Everyone Reads the Paper
Documented return predictors decay after they are published — roughly 58% lower post-publication than in the original sample, per McLean & Pontiff (2016) —...
-
Fractional Kelly: A Disciplined Way to Size a High-Volatility Satellite Sleeve
Full Kelly maximizes long-run compound growth in theory, but it assumes you know your edge exactly — a condition that essentially never holds with a...
-
How Concentrated Is Your Index, Really? Measuring the Effective Number of Holdings
A fund's holding count is a headline number; the effective number of holdings — the count an equal-weighted portfolio would need to match the same...
-
How ETFs Barely Pay Capital-Gains Tax: In-Kind Redemption and 'Heartbeat' Trades Explained
ETFs rarely distribute capital gains because they hand appreciated securities to authorized participants "in kind" rather than selling them for cash — a...
-
Volatility Targeting: How Scaling Exposure to a Risk Budget Changes Long-Term Outcomes
Volatility targeting scales exposure inversely to expected volatility so the portfolio holds a roughly constant risk budget — it works because volatility is...
-
VYMI vs IDV: International Dividend ETFs — Yield, Country Risk, and the Currency Drag
IDV pays a materially higher distribution yield (5.5% vs 3.7%), but that gap did not translate into higher total return over five or ten years — VYMI edged...
-
VO vs IJH: The Overlooked Mid-Cap Allocation — Does It Add Anything to VOO?
VO and IJH both call themselves "mid-cap," but they track different indices with different rules — the S&P MidCap 400 (IJH) applies an earnings screen and...
-
ARKK vs QQQ: Disruptive Innovation vs the Nasdaq-100 — What a Full Cycle Revealed
Over the trailing five years QQQ compounded at 15.6% annually while ARKK compounded at −8.1% — the two funds did not just diverge in degree, they diverged...
-
How to Rebalance Into a Drawdown Without Guessing the Bottom
Rebalancing bands turn a drawdown into a mechanical instruction — trim what held, add to what fell — without requiring you to identify the bottom. Over the...
-
The Hidden Chip Bet in Your Index Fund: How Much Semiconductor Exposure QQQ, VOO, and VTI Really Carry
Cap-weighting quietly routes the same handful of mega-cap AI and semiconductor names into QQQ, VOO, and VTI — so "broad" and "concentrated" have become a...
-
VTV vs VUG: The Value-vs-Growth Split Inside the S&P 500 — What 15 Years of Data Show
Over the trailing decade VUG compounded faster (18.1% vs 12.6% 10Y CAGR), but it did so with roughly double the realized volatility and a drawdown more than...
-
RSP vs VOO: Does Equal-Weighting the S&P 500 Actually Beat Cap-Weighting?
Over the trailing five and ten years, cap-weighted VOO beat equal-weighted RSP on total return — and it did so at a lower fee (0.03% vs 0.20%)....
-
How Much ETF Overlap Is Too Much? Measuring Redundancy in a Long-Term Core
Holding VOO, QQQ, and VGT together does not add diversification — it stacks three different wrappers around the same mega-cap names, so the second and third...
-
DGRO vs SCHD: Two Dividend-Growth Approaches — Breadth vs Concentration
DGRO holds 400+ names with a lower 1.96% yield and a growth lean; SCHD holds roughly 100 with a 3.25% yield and a sharper value-quality tilt — same...
-
Spot Bitcoin ETFs and the Long-Term Core: An Honest Assessment of Role and Risk
A spot Bitcoin ETF like IBIT solves the custody and access problem cleanly, but the wrapper does not change the underlying asset's risk profile — it still...
-
OMFL vs FCTR: Dynamic Multi-Factor — Rules-Based Rotation vs AI Optimization
Both funds rotate factor exposure by rule, not by forecast — but OMFL blends several factors against a macro-regime signal while FCTR makes a near-binary...
-
VNQ vs SCHH: Two REIT Index ETFs — Holdings, Yield, and Realized Risk
VNQ and SCHH are both broad U.S. equity REIT index funds with nearly identical realized volatility (~18.8% vs ~18.7% over five years), so the decision...
-
USMV vs SPLV: Two Approaches to Low-Volatility Investing — Which Defense Holds Up?
USMV (optimizer-based minimum variance) and SPLV (simple lowest-volatility ranking) sound similar but are built differently — and the construction gap, not...
-
VYM vs SCHD: High Yield vs Dividend Quality — Two Different Bets on Income
VYM and SCHD both market themselves as dividend funds, but they are built on different screens — VYM ranks the broad market by forward yield; SCHD filters...
-
QRFT vs AMOM: AI-Driven Quality vs AI-Driven Momentum — A Head-to-Head Read
QRFT and AMOM share an issuer, an inception date, and an identical 0.75% expense ratio — so this is a clean test of factor tilt, not cost or structure. Over...
-
SPY vs VOO vs IVV: The Three S&P 500 ETFs — Fees, Structure, and Tracking Difference
All three track the same S&P 500 index; over five years their total returns and drawdowns sit within a rounding error of one another. The real separation is...
-
Why 'VOO vs VTI' Is Usually the Wrong Question: A Framework for Measuring ETF Overlap
VOO and VTI share the same large-cap core, the same 0.03% fee, and a return history that has tracked within roughly a percentage point a year — so "which is...
-
VOO vs VTI: S&P 500 vs Total US Market — What the Difference Actually Costs Over Decades
VOO and VTI carry the identical 0.03% expense ratio, so this decision is not about cost — it is about factor exposure. The only real difference is VTI's...
-
The Mulden Hybrid Portfolio Framework: Quarterly Review (Q2 2026)
Across the 5-year window ending Q2 2026, the framework's diversifiers (gold) and growth tilt (QQQM) carried the return, while the bond sleeve (BND)...
-
IGV vs WCLD vs QQQ: Breaking Down the 'Tech Beta' Stack
IGV, WCLD, and QQQ are sold as "tech ETFs" but they are not interchangeable. QQQ is a diversified large-cap growth index, IGV is a concentrated software...
-
BOTZ vs. ROBO vs. AIQ: Three AI & Robotics ETFs Compared
The three funds share a marketing category but not a portfolio: AIQ's 5-year CAGR of 17.2% comes mostly from mega-cap semiconductors and hyperscalers, not...
-
12 Months of Live AI-Quant ETFs vs the S&P 500 — Honest Data Review
Across the full live track record (5Y through May 2026), none of the five AI-quant or rules-based factor ETFs in this review beat SPY's 13.8% CAGR. The...
-
FCTR vs LRGF: Where AI Actually Changes the Multi-Factor Loading
LRGF has returned 13.5% annualized over the past five years; FCTR has returned 3.0%. A 10.5-percentage-point gap that wide is structural, not noise. FCTR's...
-
QRFT Explained: AI-Driven Multi-Factor — Holdings, Fees, and Live Track Record
Over the past five years, the rules-based iShares U.S. Equity Factor ETF (LRGF) returned 13.5% annualized; the AI-enhanced QRAFT U.S. Large Cap ETF (QRFT)...
-
Why Most Investors Get Rebalancing Bands Wrong (Daryanani 2008 Revisited)
Daryanani's 2008 paper is widely cited and widely misread. The actual finding was not "5/25" — it was that relative drift bands of roughly 20% of the target...
-
AIEQ vs ROBO: AI-Managed vs AI-Themed — Two Different Bets in the Same Wrapper
AIEQ and ROBO both wear "AI" branding, but they are entirely different products: AIEQ uses an AI system as the process for picking US equities; ROBO is a...
-
Why Tracking Error Matters More Than Expense Ratio in 2026
VOO and IVV both charge 0.03%. The fee debate ends in a tie, which means the right framework question is no longer "which is cheaper?" but "which one tracks...
-
AMOM Explained: How AI Weights Momentum Differently from MTUM
MTUM is a $24B rules-based momentum factor ETF charging 0.15%. AMOM is a $30M AI-overlay product charging 0.75%. The construction philosophies are...
-
What +/-15 vs +/-25 Rebalancing Bands Actually Do — A 15-Year 60/40 Backtest
Over 15.7 years on a 60/40 VOO/BND portfolio, annual rebalancing produced 9.99% CAGR; ±15% drift bands produced 10.23%; ±25% bands produced 10.59%. The...
-
AIEQ Review: 7 Years of Live AI-Managed ETF — What Actually Worked
After more than eight years of live trading, AIEQ has trailed SPY by roughly 700 basis points per year on a 5Y annualized basis, while running 5.3 points...
-
NOBL vs. DGRW: Dividend Aristocrats vs. AI-Filtered Quality Dividend Growth
Over the past five years, DGRW returned 11.8% annualized versus NOBL's 5.7% — a 6.1-point gap, with DGRW showing slightly lower volatility and drawdown....
-
VUG vs. TTAI: Large-Cap Growth vs. AI-Based Tactical Theme Rotation
VUG and TTAI are not the matchup the legacy title suggests. TTAI today is the Abacus FCF International Leaders ETF — a free-cash-flow-weighted international...
-
VNQ vs. PPTY: REITs Index vs. AI-Powered Real Estate Value Analysis
VNQ is the cheap, deep, market-cap-weighted way to own U.S. listed real estate; PPTY is a fundamentals-tilted alternative that markets itself as smarter...
-
VXUS vs. IQIN: International Stocks vs. AI-Driven Global Multi-Factor Asset Allocation
Over the past five years, the "AI-driven" IQIN underperformed plain market-cap VXUS on every dimension we measured — lower CAGR, higher volatility, deeper...
-
AVUV vs. SYLD: Deep Value Small-Cap vs. AI-Driven Shareholder Yield Selection
AVUV is a small-cap-value factor sleeve built on the Fama-French academic playbook. SYLD is an all-cap rules-based screen on dividends, buybacks, and debt...
-
VTI vs. AIEQ: Total Market Index vs. IBM Watson’s AI Selection Performance
Over the trailing five years, VTI compounded at 11.8% annually while AIEQ — the IBM Watson-powered active equity ETF — compounded at 4.4%, a gap of roughly...
-
QQQM vs. QRFT: Nasdaq 100 vs. AI-Driven Quality Factor Investing
QQQM and QRFT both invest in U.S. large caps, but the construction logic — index-mechanical versus model-driven multi-factor — produces very different fee,...
-
SCHD vs. DIVZ: Traditional Dividend Growth vs. AI-Enhanced Yield Strategy
Over the trailing five years DIVZ outpaced SCHD by roughly 90 bp per year on total return, with lower realized volatility — but at roughly ten times the...
-
VOO vs. AMOM: Can AI Momentum Outperform the S&P 500? (2026 Analysis)
Over the trailing five years, VOO compounded at 13.1% per year versus AMOM at 9.6% — with roughly 40% more volatility and a maximum drawdown nearly twice as...
-
The "All-Weather" AI Portfolio: Combining Diversification with Predictive Power
Dalio's "all-weather" idea is sound on its merits — risk-balanced exposure across four macro environments — and is implementable today with five or six...
-
The Master Class: How to Use Claude (Anthropic) to Backtest Your Own ETF Strategy
Claude can write the Python and run the math, but it cannot tell you whether your test design is honest. Most retail backtests fail at design, not at code....
-
Best AI-Managed ETFs for 2026: A Deep Dive into AIEQ and AMOM
AIEQ (Amplify AI Powered Equity) and AMOM (QRAFT AI-Enhanced Momentum) both charge 0.75% — roughly 25 times the cost of a broad-market index ETF — for an...
-
SCHD vs VIG: A Quantitative Analysis of Dividend Quality Factors
VIG outpaced SCHD by roughly 160 basis points per year over the trailing five years (10.3% vs 8.7% CAGR), driven by its broader sector reach and...
-
VOO vs. MTUM vs. QUAL: Which Smart Beta ETF Wins Based on Historical Backtests?
Over the trailing 5 years, plain VOO (13.1% CAGR) beat both MTUM (11.5%) and QUAL (11.4%) — the factor premium did not show up in this window. Over 10...
-
The Master Guide to Evidence-Based ETF Portfolios: Using AI to Optimize Allocation (2026)
"AI-driven portfolio optimization" mostly solves a problem long-horizon investors don't actually have. Real-time tilting at retail frequency tends to cost...
-
The Future of Active Management: How AI Agents are Replacing Traditional Hedge Funds
"Agentic AI replaces hedge funds" is a marketing frame, not a structural claim — Sharpe's (1991) arithmetic of active management does not bend because the...
-
VOO vs. MTUM vs. QUAL: Which Smart Beta ETF Wins Numerically? (Backtest Analysis)
Over the trailing five years, the cap-weighted S&P 500 (VOO) actually outperformed both factor ETFs on raw return — 13.1% CAGR versus MTUM's 11.5% and...
-
How Jim Simons Built the Medallion Fund: Lessons for the Modern AI Investor
Medallion's roughly 39% net annualized return over three decades is real, public, and almost entirely a function of capacity — capped near $10B and closed...
-
VXUS vs VOO: Where Should You Invest in 2026?
Over the past decade, VOO compounded at 15.4% annualized; VXUS at 9.7%. The 5.7-percentage-point gap is real, large, and almost entirely a story about one...
-
XLE vs VDE: Which Energy ETF Benefits Most from Oil Shocks?
XLE and VDE deliver nearly identical 5-year results (CAGR 22.7% vs 23.2%) with nearly identical realized risk (max drawdown −26.0% vs −26.6%) — the...
-
Energy Equities and Geopolitical Conflict: When the Relationship Actually Holds
"Energy equities rise on conflict" is true on average but conditional on physical supply transmission — not on how loud the headlines are. The post-2014...
-
Why AI Is Driving a New Infrastructure Supercycle (Not Just Tech Stocks)
The "AI infrastructure" thesis is two trades dressed as one — a load-growth story (data center electricity demand) and a duration trade (long-dated cash...
-
What Market Rotation Is — and Isn't — for Long-Horizon ETF Investors
Sector rotation is empirically real as cross-sectional dispersion, but the academic evidence that retail investors can trade it profitably after costs is...
-
Reading 2026 Capital Flows: The Macro Arithmetic Behind the "Smart Money" Narrative
"Smart money" is mostly a narrative device. The honest version of the question is which 2026 capital flows are large and persistent enough to look...
-
Roles Before Tickers: A Framework for Long-Horizon ETF Allocation
A durable long-horizon portfolio is a system of roles — broad equity, factor tilt, income/quality, defensive cash — not a list of favorite tickers. The five...
-
The Honest Math of Daily-Reset Leverage: What QLD, SSO, and TQQQ Actually Cost in a 4% Rate Regime
A 2x daily-reset ETF such as QLD does not deliver 2x the annual return of the Nasdaq-100. It delivers roughly 2x of each daily return, compounded — a...
-
The Arithmetic of a -30% Drawdown: Recovery Math, Allocation, and What the Data Actually Says
A -30% drawdown requires a +43% return to break even; -50% requires +100%. The asymmetry is the whole story. Across the 2021–2026 window, realized maximum...
-
Asset Allocation in Practice: How 10% Weight Shifts Reshape Long-Term Outcomes
Across the trailing five years (2021-2026), a defensive blend (VOO 50 / SCHD 30 / SGOV 20) produced a roughly 10.1% blended CAGR, while a growth-tilted...
-
Buying at the 2007 Peak: A 10-Year Simulation of Lump-Sum vs. Lump-Sum-Plus-DCA
Investing a lump sum at the October 2007 S&P 500 peak and then doing nothing is the textbook worst-entry scenario — your money was 56.8% underwater by March...
-
The Rule of 72 in Practice: What Realized ETF Returns Say About Doubling Time
Applied to realized 5-year CAGRs, the Rule of 72 gives doubling estimates ranging from 4.1 years (QQQM) to 20.6 years (SGOV) — but that range collapses...
-
The Rationale Behind a Five-ETF Long-Term Core: VOO, QQQM, SCHD, VXUS, AVUV
Five funds with non-overlapping roles — broad US beta (VOO), large-cap growth tilt (QQQM), dividend-quality (SCHD), ex-US developed and emerging (VXUS), and...
-
The Final-Decade Asymmetry: How Long-Horizon ETF Compounding Actually Distributes
The arithmetic of a 30-year, $500/month plan at a 9% nominal CAGR has roughly 80% of the terminal balance coming from compounded returns, not from...
-
How to Start ETF Investing: The Complete 2026 Roadmap
Starting an ETF portfolio is a sequence of four decisions — horizon, account type, allocation, rebalancing rule. Get that sequence right and the ticker...
-
Hedging a Leveraged Sleeve: A Framework Built Before the Volatility Arrives
Hedging a leveraged equity sleeve is not the same problem as hedging an unleveraged one. Daily-reset products are path-dependent, so the shape of a drawdown...
-
What Rising Interest Rates Mean for Leveraged ETF Borrowing Costs
Leveraged ETFs do not borrow on margin. They obtain exposure through total return swaps whose financing leg is reset daily at short-term rates (Fed Funds or...
-
The Honest Math of Leveraged ETFs - Path Dependency, Volatility Decay, and the Behavioral Gap
Over the last five years, TQQQ delivered a 27.0% CAGR while QQQM delivered 17.6% — a ratio of 1.53x, not the 3x the leverage label implies. Realized...
-
The Math of Leveraged ETF Decay: Myth vs. Reality in Trending Markets
Daily-reset leverage produces a return that, over any non-trivial horizon, is not L times the index — it is L times the daily return, compounded, then taxed...
-
Leveraged ETF Satellites in a Long-Term Core: The Drawdown Math Most Plans Skip
Over the last five years, TQQQ (3x QQQ) realized a 27.0% CAGR — roughly 1.5x QQQM's 17.6%, not 3x — while drawing down 81.7% peak-to-trough. QLD (2x QQQ)...
-
QLD vs SSO: What 2x Leveraged ETFs Actually Cost a Long-Term Holder
Over the last five years QLD compounded at 24.9% versus QQQ's 17.6% — meaningful, but well short of the naive "2x" expectation of roughly 35% once...
-
TQQQ vs QQQM: What Live Returns Reveal About 3x Leverage Over a Full Cycle
Over the trailing five years, TQQQ realized only ~1.53× the CAGR of QQQM (27.0% vs 17.6%), not 3×. Daily resets, financing costs, and the 2022 drawdown...
-
VOO vs QQQM vs TQQQ: What 5-Year Volatility and Drawdown Tell Us About Leverage in a Long-Term Core
Over the trailing five years, TQQQ delivered ~27.0% annualized but with 66.6% realized volatility and an 81.7% peak-to-trough drawdown — a hole that...
-
The Honest Math of Leveraged ETFs: A 5-Year Data Read on TQQQ, SSO, and UPRO
Over the trailing five years, TQQQ delivered roughly 1.5x the realized CAGR of QQQM — not 3x — while taking on roughly 3x the drawdown and 3x the...
-
Infrastructure in a 30-Year Core: What the Data on XLU and PAVE Actually Shows
"Infrastructure" is two different factor exposures wearing one label: XLU is regulated-utility income, PAVE is industrial build-out cyclicality. Treating...
-
Common Mistakes in Infrastructure Investing and How to Avoid Them
"Infrastructure" is not one asset class. XLU (regulated utilities), PAVE (industrial buildout), and GRID (smart-grid equipment) have different factor...
-
Rebalancing After an AI Concentration Run: Where the Trimmed Capital Actually Belongs
Daryanani-style threshold bands (±15% of target) reduce rebalance frequency and tax drag versus naive calendar rebalancing — but only if the chosen...
-
The Impact of 2026 Energy Policies on Your Long-Term Portfolio
Five thematic ways to express a 2026 energy-policy view — PAVE, GRID, NLR, XLU, VXUS — have produced very different 5-year returns, but the risk-adjusted...
-
PSCU vs XLU and VPU: What Five Years of Data Say About Small-Cap Utility Exposure
Over the trailing five years, PSCU (small-cap utilities & communication services) returned roughly 1.5% CAGR versus 9.2% for XLU and 9.0% for VPU — a gap of...
-
VXUS vs. a US-Only Core: What International Diversification Actually Adds
Over the trailing five years VXUS underperformed VOO by roughly 540 basis points per year — and the case for holding it does not rest on that window. VXUS's...
-
What SGOV and Gold Actually Do: A Quant Look at Defensive Assets in 2026
SGOV's five-year realized volatility is 0.2% and its worst drawdown was 0.03% — it behaves like cash with a yield, not like a "bond." The 3.9% distribution...
-
Grid Modernization and the GRID ETF: A Calibrated Look at Smart-Grid Equipment vs. Utilities
GRID and XLU are often grouped as "electricity plays," but they own structurally different businesses: GRID holds the equipment makers (transformers,...
-
Utilities in a Rate-Cut Cycle: What the AI Power Demand Story Does — and Doesn't — Justify
The "AI data center demand plus rate cuts equals utility re-rating" thesis is plausible — and largely consensus. Five-year realized data show utility ETFs...
-
The 90/10 Allocation Framework: Pairing Broad Equity, AI Infrastructure, and a Cash Sleeve
The 90/10 template — 90% diversified equity, 10% short-duration Treasury cash — is best understood as a 100% equity policy with a rebalancing buffer, not a...
-
BOTZ vs IRBO: Finding the Most Cost-Effective Entry into Automation
Over the trailing five years, IRBO's equal-weighted approach delivered an 11.1% CAGR versus BOTZ's 4.3% — a 6.8-point gap that dwarfs the 21 bp fee...
-
VPU vs XLU: A Fee, Liquidity, and Concentration Comparison for Long-Horizon Utility Exposure
VPU (0.09%) and XLU (0.08%) are functionally near-identical at the top of the basket — the holdings overlap is far more important than the 1 bp fee gap....
-
VOO, XLU, IFRA: What 5-Year Data Says About Three Approaches to the AI Power Build-Out
Over five years, VOO (13.9% CAGR) beat both XLU (9.2%) and IFRA (12.8%) on raw return — the AI tailwind didn't show up in the "picks-and-shovels" trade the...
-
Sizing an AI-Infrastructure Sleeve: VOO, QQQM, XLU, IFRA, and SGOV Through a Long-Horizon Lens
The "AI infrastructure" label sits across three different ETF wrappers — utilities (XLU), industrial buildout (IFRA), and the consuming software layer...
-
The Yield-vs-Growth Question in 2026: Reading SCHD Against VOO, QQQM, AVUV, and ROE
With the 10-year Treasury at 4.5% and CPI still running near 3.9% YoY, the opportunity cost of holding a US dividend tilt is no longer zero — but the...
-
Planning the Handoff: A Framework for Tax-Efficient Wealth Transfer
Tax-efficient wealth transfer is mostly a cost-basis problem: gift during life and you trade the step-up at death for decades of compounding in the...
-
"The Curse of Sequence Risk" – Protecting Your 30-Year Plan from a Pre-Retirement Crash
Sequence-of-returns risk is path-dependent: identical 30-year averages produce wildly different outcomes once withdrawals start, because losses early in...
-
The Boredom Plateau: Why Year 10 Tests More Portfolios Than the First Crash
The greatest risk to a 30-year portfolio isn't a crash; it's the quiet stretch around years five to ten when nothing dramatic happens and the holder reaches...
-
SCHD vs VOO: What the Data Actually Says About Dividend Yield and Total Return
Over the trailing 10 years, VOO compounded at 15.6% annualized vs SCHD at 12.7% — a meaningful gap driven mostly by the post-2020 large-cap growth regime,...
-
Re-evaluating the 4% Rule: Sequence Risk, Yield, and Dynamic Withdrawal in 2026
The 4% rule was calibrated by Bengen (1994) on 1926-1976 US data. It never promised safety — only a ~95% historical success rate over a 30-year horizon,...
-
Buy and Hold in 2026: What Rebalancing Discipline Actually Adds to Long-Term ETF Returns
Buy-and-hold is still the right base case for long-horizon ETF investors, but pure drift quietly converts a balanced portfolio into something the investor...
-
Tax-Loss Harvesting and the After-Tax Compounding Gap: What the Math Actually Shows
Over a 30-year horizon, a 1-percentage-point reduction in annual tax drag compounds into roughly a one-third increase in terminal wealth — not because of...
-
Beyond a One-ETF Equity Core: What AVUV and VXUS Actually Add to VOO
Over the last five years VOO has out-returned AVUV (small-cap value) by roughly 310 bp annualized and VXUS (international) by roughly 540 bp — the supposed...
-
SGOV and Gold in a 4.5% World: Rethinking the Defensive Sleeve for 2026
With SGOV's distribution yield at 3.9% and the 10-year Treasury at 4.47% (FRED, asof 2026-05-14), the opportunity cost of holding non-yielding gold is...
-
VOO, QQQM, and SCHD: What Five-Year Risk and Return Actually Say About a Long-Term Core
QQQM produced the highest five-year CAGR (17.6%), but at 22.3% realized volatility and a −35.0% drawdown — a single-regime number, not a permanent ranking....
-
XLE in a Long-Term Core: The Rebalancing Math Behind Cyclical Sector Sleeves
XLE's trailing 5-year CAGR of 22.3% sits roughly 840 basis points above VOO, but the same fund's 10-year CAGR is 10.7% — a regime readout, not a structural...
-
SCHD, AVUV, and VXUS During the Iran–U.S. War Shock Dividend Stability, Small-Cap Risk, and Global Exposure — A Data-Driven ETF Analysis
SCHD, AVUV, and VXUS occupy three different rows of the factor matrix — quality-dividend, small-cap value, and international beta. The realized data...
-
SGOV, VOO, and QQQM Under Geopolitical Stress: What Oil, Yields, and Volatility Reveal
SGOV's effective duration near zero made it behave as designed during the recent oil-driven inflation scare — essentially flat while the equity sleeves...
-
If the Nasdaq 100 Corrects 20%, Will Long-Term Investors Lose Money? (10+ Year Analysis)
A 20% Nasdaq-100 drawdown is the index's textbook resting state, not its tail event — the real long-term risk lives in the 50% and 80% drawdowns sitting in...
-
Tesla Inside Your Index ETF: How Market-Cap Weighting Translates a Single Stock Into Portfolio Exposure
Anyone holding VOO or QQQM already owns Tesla — the relevant question is how much, not whether. Tesla's weight inside QQQM runs roughly 2-2.5x its weight...
-
The Tesla Ecosystem Through an ETF Lens: How Long-Horizon Investors Should Think About Concentrated Innovation Bets
The Tesla ecosystem bundles electrification, energy storage, AI, and robotics into a single corporate balance sheet — which compresses both upside and...
-
Single-Country ETFs vs Global Diversification: A Structural Long-Horizon Comparison
A single-country ETF and a broad ex-US fund look comparable at a glance, but they sit on opposite sides of a diversification trade — one is a concentrated...
-
KOSPI 200 ETF Strategy: How It Fits in a Long-Term Global Portfolio
KOSPI 200 is not a regional bet — it is concentrated exposure to global memory-chip cycles, export manufacturing, and KRW currency dynamics. Samsung...
-
Do You Really Need International Exposure? (VXUS Explained)
VXUS holds roughly 8,500 non-US stocks at a 0.05% expense ratio, covering developed and emerging markets in one ticker. Through May 2026, VXUS posted a...
-
Two Layers, Defined Roles: A Framework for Long-Horizon ETF Allocation
A portfolio is not a list of tickers — it is a set of roles, and every position should answer one specific question about what job it does. A two-layer...
-
SCHD and the Power of Dividend Discipline
SCHD is not a yield product — it is a quality screen (return on equity, cash flow / debt, five-year dividend growth) that happens to express itself through...
-
How Today’s Inflation Slowdown Is Reshaping Long-Term ETF Strategy in 2026
-
VOO vs QQQM: Which ETF Is Better for Long-Term Investing in 2026?
-
How to Build Long-Term Wealth with ETFs (Beginner Guide 2026)
Mentions are detected across the full text of every article, so an appearance may be a passing comparison rather than the subject. Nothing here is a recommendation to buy or sell — see the disclaimer.