VSGX(VSGX)
AI Look-Through Summary
AI GeneratedVSGX presents a distinct profile characterized by significant sector concentration in technology despite holding a relatively modest weighted exposure of 4.0% across the universe. This apparent discrepancy suggests that while the fund's aggregate allocation to tech is low, specific holdings within this sector drive disproportionate influence due to individual stock weights exceeding their proportional representation; for instance, ASML and ROP individually command 1.8% and 1.0% respectively. The portfolio exhibits a heavy tilt toward non-US equities, evidenced by the prevalence of tickers such as 2330 and 005930 which lack standard US ticker formats or sector classifications often associated with domestic large-cap names, indicating a primary focus on international markets rather than a balanced global distribution.
With assets under management totaling $5.8 billion, the fund demonstrates substantial scale relative to its specific niche strategy. The top ten holdings reveal a fragmented structure where no single position dominates beyond 4.8%, yet the cumulative weight of these concentrated positions creates a unique risk-reward dynamic distinct from broad market indices. Healthcare and financial services provide diversification with combined weights of 2.7% and 1.5%, though consumer cyclicals and basic materials contribute minimally at 1.0% and 0.8%. The inclusion of entities like NOVN and NESN alongside established names such as AZN further underscores the fund's specialized approach, likely targeting specific regional or thematic opportunities rather than capturing broad industry beta.
Quantitatively, the low sector weights contrast sharply with the high individual stock concentrations within those sectors, implying that performance will be highly sensitive to the fortunes of a select group of companies rather than overall sector trends. The geographic and ticker diversity suggests an exposure to emerging markets or specific international indices where valuation metrics may diverge significantly from developed market peers. Investors examining this vehicle should consider whether the specific combination of high-concentration tech names within a low-tech-weight framework aligns with their desired risk profile, particularly given that the fund does not offer broad diversification across traditional major sectors like industrials or utilities which are entirely absent from the provided data snapshot.
Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-22 06:42:58.68069+00
🔍 Theme Alignment Audit
AI GeneratedPurity: 25/100The investment theme implied by the ticker VSGX suggests a focus on global sustainability or specific green energy transitions, yet the actual portfolio composition reveals minimal thematic cohesion. While ASML and SAP are present as technology names often associated with digital infrastructure for clean tech, their exposure is negligible at less than two percent each, failing to drive any distinct sectoral narrative. The fund's top holdings include major financial institutions like RY and CBA alongside diverse entities such as NOVN and NESN that lack clear labels in the provided data, indicating a broad market approach rather than a targeted strategy. This reliance on large-cap names across unrelated sectors suggests the fund may be utilizing well-known tickers to stabilize returns without maintaining a rigorous adherence to a specific environmental or technological mandate.
Sector allocation further underscores this misalignment, with Technology and Financial Services comprising the majority of identifiable weights at four percent and two point seven percent respectively, while dedicated green energy or sustainability sectors are virtually absent from the breakdown. The extremely low top-ten concentration of fifteen one percent indicates a highly diversified structure that mirrors broad market indices rather than offering differentiated exposure to niche themes. Although minor allocations exist in healthcare and consumer cyclical goods, these do not form a coherent cluster around any singular investment thesis. Consequently, the fund appears to function more as a generalist vehicle with incidental thematic overlaps rather than a specialized instrument designed for investors seeking concentrated sustainability or technology growth outcomes.
AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-19 13:20:25.77686+00
🏢 Sector Analysis
AI GeneratedThe sector allocation profile of this ETF presents a highly concentrated portfolio with an overwhelming emphasis on specific holdings rather than broad industry exposure. Although the reported sector weights for Technology, Financial Services, and Healthcare appear minimal at 4.0%, 2.7%, and 1.5% respectively, these figures likely represent only a fraction of the fund's total value given that the top five individual positions collectively account for nearly 9.6% of assets under management alone. The presence of ASML within the Technology sector confirms an exposure to semiconductor equipment manufacturing, yet this single holding represents less than half of the stated technology allocation, suggesting significant portions of the portfolio reside in sectors not explicitly detailed or are aggregated differently by the data provider.
This structural arrangement indicates a distinct investment thesis centered on high-conviction individual stock selection rather than diversified sector beta capture. The top-10 concentration metric of 15.1% appears deceptively low when viewed alongside the dominance of specific large-cap names like ASML and other unidentified entities comprising nearly half the portfolio; this implies that a small number of stocks drive the vast majority of performance outcomes, creating substantial idiosyncratic risk. The near-absence of exposure in major growth drivers such as Communication Services or Energy further underscores a deliberate avoidance of broad market trends in favor of targeted picks. Consequently, the fund's factor tilt is heavily weighted toward large-cap value characteristics inherent to its top holdings rather than small-cap or mid-cap factors, while the lack of diversification across industries suggests that volatility will be closely tied to the specific fortunes of these few key assets rather than systemic sector shifts.
AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-24 03:16:22.306267+00
Flow Driver Analysis
2-Step CircleWhich larger ETFs share VSGX's holdings — and mechanically drive its price through index rebalancing flows?
Approximately 100% of VSGX's weight flows through these larger ETFs
| Driver ETF | AUM | Expense | Shared Stocks | Weight Overlap |
|---|---|---|---|---|
| VXUSVXUS | $624B | — | 353 | 62.7% |
| VEUVEU | $86B | — | 352 | 62.7% |
| CWICWI | $2B | — | 386 | 53.4% |
| VEAVanguard FTSE Developed Markets Index Fund ETF Shares | $290B | — | 339 | 51.4% |
| SPDWSPDW | $36B | — | 343 | 47.4% |
63% of VSGX's portfolio by weight is also held by VXUS, which commands 108× more assets under management. When VXUS receives inflows, it mechanically buys these shared stocks — dragging VSGX's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofVSGX's weight.
Overlap computed from constituent-level holdings data across 5 ETFs. Price co-movement with driver ETFs is structural, not coincidental. Not investment advice.
ETF Look-Through Dashboard
Replaces $249/yr MorningstarPeer through the ETF wrapper to see exactly what you own. Every metric is computed from constituent-level data.
Weighted metrics calculated based on 18% of fund assets with available data.
Herfindahl-Hirschman Concentration Index
Morningstar-Style Box
Sector & Cap Explorer
ETF Fundamental Radar
Operational health is mixed, with the bulk of weight in the mid-range (4–6) Piotroski scores.
Piotroski F-Score (Operational Health)
Score 0-9: Measures Profitability, Leverage, and Efficiency
Based on 14% of fund weight with Piotroski data.
Computed by rolling up individual stock Piotroski F-Scores, Altman Z-Scores, and Beneish M-Scores weighted by each constituent's allocation. Data that Vanguard and BlackRock don't surface.
Dividend Safety True-Up
DeterministicThe dividend-paying companies inside VSGX collectively pay out 37% of their Free Cash Flow to maintain the current yield. This leaves a substantial cash buffer, making dividend cuts unlikely even in a downturn. Based on 9% of fund weight in dividend-paying stocks.
FCF Payout Ratio = Dividends Paid / Free Cash Flow, weighted by constituent allocation. Not investment advice.
Earnings vs. Price Decomposition
ProprietaryVSGX is up 34.5% over the last 12 months. The underlying weighted earnings growth of its constituents is +26.2%. The remaining +8.3% of performance is driven by multiple expansion (P/E inflation) — prices rose faster than earnings grew.
Earnings growth = weighted average YoY EPS growth of all constituents (capped at ±500% to limit outlier distortion). Based on 13% of fund weight with earnings data. Not investment advice.
Passive Crowding Score
SEVEREHow much of each constituent's market cap is structurally locked in passive ETFs — a proxy for liquidity fragility during sell-offs.
VSGX has a Passive Crowding Score of 100/100. On average, 53.8% of the market capitalization of VSGX's underlying holdings is structurally locked in passive ETF vehicles. In the event of a broad sell-off, VSGX faces elevated "gap-down" risk — as passive redemptions force simultaneous selling of constituents where a large portion of the float is not actively trading.
Passive $ = Σ(ETF AUM × holding weight) across all 6 tracked ETFs. Actual passive ownership is higher (includes mutual funds, pension funds). Not investment advice.
Under the Hood — Top 15 Constituents
| # | Ticker | Company | Weight | P/E | F-Score |
|---|---|---|---|---|---|
| 1 | 2330 | Taiwan Semiconductor Manufacturing Co. Ltd. | 4.83% | — | — |
| 2 | 005930 | Samsung Electronics Co. Ltd. | 1.89% | — | — |
| 3 | ASML | ASML Holding NV Technology | 1.77% | 53.8x | 8/9 |
| 4 | 000660 | SK hynix Inc. | 1.06% | — | — |
| 5 | NOVN | Novartis AG | 1.01% | — | — |
| 6 | AZN | AstraZeneca plc Healthcare | 1.01% | 27.9x | 7/9 |
| 7 | 9988 | Alibaba Group Holding Ltd. | 0.96% | — | — |
| 8 | ROP | Roche Holding AG Technology | 0.96% | 20.3x | 5/9 |
| 9 | NESN | Nestle SA | 0.87% | — | — |
| 10 | RY | Royal Bank of Canada Financial Services | 0.77% | 17.1x | 3/9 |
| 11 | 7203 | Toyota Motor Corp. | 0.76% | — | — |
| 12 | CBA | Commonwealth Bank of Australia | 0.67% | — | — |
| 13 | 8306 | Mitsubishi UFJ Financial Group Inc. | 0.64% | — | — |
| 14 | SIE | Siemens AG | 0.62% | — | — |
| 15 | SAP | SAP SE Technology | 0.60% | 25.1x | 8/9 |
Historical Holdings Snapshots
Browse how VSGX’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.
2026-05-24
15 holdings · 18.4% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | 2330 | 4.83% | 4,876,309 | $282.0M |
| 2 | 005930 | 1.89% | 942,759 | $110.3M |
| 3 | ASML | 1.77% | 77,903 | $103.6M |
| 4 | 000660 | 1.06% | 108,682 | $61.7M |
| 5 | NOVN | 1.01% | 384,648 | $59.0M |
| 6 | AZN | 1.01% | 300,719 | $58.8M |
| 7 | ROP | 0.96% | 141,056 | $56.3M |
| 8 | 9988 | 0.96% | 3,595,600 | $56.4M |
| 9 | NESN | 0.87% | 515,299 | $50.5M |
| 10 | RY | 0.77% | 280,122 | $45.3M |
| 11 | 7203 | 0.76% | 2,133,600 | $44.4M |
| 12 | CBA | 0.67% | 335,485 | $39.3M |
| 13 | 8306 | 0.64% | 2,207,900 | $37.4M |
| 14 | SIE | 0.62% | 147,700 | $36.0M |
| 15 | SAP | 0.60% | 206,971 | $35.3M |
2026-05-23
15 holdings · 18.4% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | 2330 | 4.83% | 4,876,309 | $282.0M |
| 2 | 005930 | 1.89% | 942,759 | $110.3M |
| 3 | ASML | 1.77% | 77,903 | $103.6M |
| 4 | 000660 | 1.06% | 108,682 | $61.7M |
| 5 | NOVN | 1.01% | 384,648 | $59.0M |
| 6 | AZN | 1.01% | 300,719 | $58.8M |
| 7 | ROP | 0.96% | 141,056 | $56.3M |
| 8 | 9988 | 0.96% | 3,595,600 | $56.4M |
| 9 | NESN | 0.87% | 515,299 | $50.5M |
| 10 | RY | 0.77% | 280,122 | $45.3M |
| 11 | 7203 | 0.76% | 2,133,600 | $44.4M |
| 12 | CBA | 0.67% | 335,485 | $39.3M |
| 13 | 8306 | 0.64% | 2,207,900 | $37.4M |
| 14 | SIE | 0.62% | 147,700 | $36.0M |
| 15 | SAP | 0.60% | 206,971 | $35.3M |
2026-05-22
15 holdings · 18.4% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | 2330 | 4.83% | 4,876,309 | $282.0M |
| 2 | 005930 | 1.89% | 942,759 | $110.3M |
| 3 | ASML | 1.77% | 77,903 | $103.6M |
| 4 | 000660 | 1.06% | 108,682 | $61.7M |
| 5 | AZN | 1.01% | 300,719 | $58.8M |
| 6 | NOVN | 1.01% | 384,648 | $59.0M |
| 7 | 9988 | 0.96% | 3,595,600 | $56.4M |
| 8 | ROP | 0.96% | 141,056 | $56.3M |
| 9 | NESN | 0.87% | 515,299 | $50.5M |
| 10 | RY | 0.77% | 280,122 | $45.3M |
| 11 | 7203 | 0.76% | 2,133,600 | $44.4M |
| 12 | CBA | 0.67% | 335,485 | $39.3M |
| 13 | 8306 | 0.64% | 2,207,900 | $37.4M |
| 14 | SIE | 0.62% | 147,700 | $36.0M |
| 15 | SAP | 0.60% | 206,971 | $35.3M |
2026-05-21
15 holdings · 18.4% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | 2330 | 4.83% | 4,876,309 | $282.0M |
| 2 | 005930 | 1.89% | 942,759 | $110.3M |
| 3 | ASML | 1.77% | 77,903 | $103.6M |
| 4 | 000660 | 1.06% | 108,682 | $61.7M |
| 5 | AZN | 1.01% | 300,719 | $58.8M |
| 6 | NOVN | 1.01% | 384,648 | $59.0M |
| 7 | 9988 | 0.96% | 3,595,600 | $56.4M |
| 8 | ROP | 0.96% | 141,056 | $56.3M |
| 9 | NESN | 0.87% | 515,299 | $50.5M |
| 10 | RY | 0.77% | 280,122 | $45.3M |
| 11 | 7203 | 0.76% | 2,133,600 | $44.4M |
| 12 | CBA | 0.67% | 335,485 | $39.3M |
| 13 | 8306 | 0.64% | 2,207,900 | $37.4M |
| 14 | SIE | 0.62% | 147,700 | $36.0M |
| 15 | SAP | 0.60% | 206,971 | $35.3M |
2026-05-20
15 holdings · 18.4% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | 2330 | 4.83% | 4,876,309 | $282.0M |
| 2 | 005930 | 1.89% | 942,759 | $110.3M |
| 3 | ASML | 1.77% | 77,903 | $103.6M |
| 4 | 000660 | 1.06% | 108,682 | $61.7M |
| 5 | AZN | 1.01% | 300,719 | $58.8M |
| 6 | NOVN | 1.01% | 384,648 | $59.0M |
| 7 | 9988 | 0.96% | 3,595,600 | $56.4M |
| 8 | ROP | 0.96% | 141,056 | $56.3M |
| 9 | NESN | 0.87% | 515,299 | $50.5M |
| 10 | RY | 0.77% | 280,122 | $45.3M |
| 11 | 7203 | 0.76% | 2,133,600 | $44.4M |
| 12 | CBA | 0.67% | 335,485 | $39.3M |
| 13 | 8306 | 0.64% | 2,207,900 | $37.4M |
| 14 | SIE | 0.62% | 147,700 | $36.0M |
| 15 | SAP | 0.60% | 206,971 | $35.3M |
2026-05-19
15 holdings · 18.4% tracked weight| # | Ticker | Weight | Shares | Market Value |
|---|---|---|---|---|
| 1 | 2330 | 4.83% | 4,876,309 | $282.0M |
| 2 | 005930 | 1.89% | 942,759 | $110.3M |
| 3 | ASML | 1.77% | 77,903 | $103.6M |
| 4 | 000660 | 1.06% | 108,682 | $61.7M |
| 5 | AZN | 1.01% | 300,719 | $58.8M |
| 6 | NOVN | 1.01% | 384,648 | $59.0M |
| 7 | ROP | 0.96% | 141,056 | $56.3M |
| 8 | 9988 | 0.96% | 3,595,600 | $56.4M |
| 9 | NESN | 0.87% | 515,299 | $50.5M |
| 10 | RY | 0.77% | 280,122 | $45.3M |
| 11 | 7203 | 0.76% | 2,133,600 | $44.4M |
| 12 | CBA | 0.67% | 335,485 | $39.3M |
| 13 | 8306 | 0.64% | 2,207,900 | $37.4M |
| 14 | SIE | 0.62% | 147,700 | $36.0M |
| 15 | SAP | 0.60% | 206,971 | $35.3M |
Source: SEC filings and fund provider disclosures. Shows last 6 snapshot dates, top 15 holdings per date by weight.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Computed from 1,200+ trading days with 5% risk-free rate.
Price Chart with Moving Averages
What Drove VSGX Today?
Daily return attribution — which holdings contributed most (and least) to the fund's move.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the ETF's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Yield & Income
Sector Drift Over Time
How VSGX’s sector allocation has shifted across snapshots. Use the slider to travel through time.
Active Conviction Tracker
Shares bought and sold between the latest two data snapshots — reveals what the fund manager is actually doing.
Explore More
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
SecuritiesDB is for informational purposes only. Not investment advice.