Global X Silver Miners ETF (SIL) and iShares MSCI Global Silver and Metals Miners ETF (SLVP) offer investors distinct vehicles for accessing the silver mining industry. These ETFs do not compete directly but provide alternative exposure within the same thematic sector, appealing to those seeking commodity-linked equity returns without holding physical silver. In the current environment of industrial demand growth and precious metals interest, comparing their structural features helps investors evaluate diversification, cost, and risk profiles. Both target companies primarily engaged in silver exploration and production, yet differences in index construction and fees create meaningful distinctions for portfolio positioning.
Global X Silver Miners ETF (SIL) seeks to track the Solactive Global Silver Miners Total Return Index. The fund is passively managed and non-diversified, investing at least 80% of assets in index constituents and related depositary receipts. It currently holds approximately 39-40 securities. Top holdings typically include Wheaton Precious Metals, Pan American Silver, and Coeur Mining, with the top 10 representing a significant portion of assets. Sector allocation concentrates heavily in basic materials, particularly metals and mining. The expense ratio stands at 0.65%. The ETF rebalances according to index rules and provides broad global exposure to silver mining firms.
iShares MSCI Global Silver and Metals Miners ETF (SLVP) aims to track the MSCI ACWI Select Silver Miners Investable Market Index. This passively managed, non-diversified fund invests primarily in companies engaged in silver mining or exploration. It maintains around 36-37 holdings. Top positions often feature Hecla Mining, Industrias Penoles, and First Majestic Silver, with the top 10 accounting for roughly 70% of the portfolio. Allocation focuses almost entirely on metals and mining within basic materials. The expense ratio is 0.39%. Rebalancing follows the underlying index methodology, delivering exposure across developed and emerging markets.
The silver mining sector benefits from rising industrial applications in solar energy, electronics, and electric vehicles alongside traditional investment demand. Macroeconomic factors such as interest rate expectations, inflation trends, and supply constraints influence capital flows into precious metals equities. Regulatory developments around mining operations and geopolitical tensions in key producing regions like Mexico, Canada, and Peru can affect supply dynamics. Both ETFs remain sensitive to commodity price cycles and broader equity market sentiment toward resource sectors, with exposure to companies that may also derive revenue from gold and other metals.
In recent market cycles, both ETFs have exhibited volatility tied to silver price movements and sector rotation within materials. SIL’s higher concentration in certain top holdings can amplify returns during favorable periods for those companies but may increase downside risk. SLVP’s lower expense ratio supports better net performance retention over time, while its index construction provides a slightly different weighting across geographies and firms. Relative positioning shows both funds responding similarly to earnings cycles of major miners and commodity trends, with differences emerging mainly from fee drag and minor variations in holdings overlap. Investors evaluating these vehicles often consider liquidity profiles and how each aligns with broader portfolio commodity exposure.
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Based on observable structural factors, Tickeron’s AI would likely favor iShares MSCI Global Silver and Metals Miners ETF (SLVP) in the current environment. The lower expense ratio provides a clear efficiency advantage, while the index methodology delivers comparable thematic exposure with a competitive holdings profile. Cost efficiency, combined with solid diversification within the concentrated sector, supports a probabilistic edge for SLVP in long-term positioning relative to higher-fee alternatives.
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| SIL | SLVP | SIL / SLVP | |
| Gain YTD | 18.866 | 17.951 | 105% |
| Net Assets | 5.34B | 1.03B | 519% |
| Total Expense Ratio | 0.65 | 0.39 | 167% |
| Turnover | 27.57 | 74.00 | 37% |
| Yield | 1.38 | 2.37 | 58% |
| Fund Existence | 16 years | 15 years | - |
| SIL | SLVP | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 85% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 3 days ago 87% | 3 days ago 88% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 6 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | N/A | N/A |
| BollingerBands ODDS (%) | 3 days ago 80% | 3 days ago 84% |
| Aroon ODDS (%) | 3 days ago 89% | 3 days ago 87% |
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A.I.dvisor indicates that over the last year, SIL has been closely correlated with PAAS. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if SIL jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SIL | 1D Price Change % | ||
|---|---|---|---|---|
| SIL | 100% | -3.88% | ||
| PAAS - SIL | 95% Closely correlated | -3.68% | ||
| WPM - SIL | 94% Closely correlated | -2.95% | ||
| CDE - SIL | 91% Closely correlated | -4.86% | ||
| OR - SIL | 88% Closely correlated | -3.21% | ||
| VZLA - SIL | 82% Closely correlated | -3.85% | ||
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A.I.dvisor indicates that over the last year, SLVP has been closely correlated with PAAS. These tickers have moved in lockstep 93% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLVP jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SLVP | 1D Price Change % | ||
|---|---|---|---|---|
| SLVP | 100% | -3.94% | ||
| PAAS - SLVP | 93% Closely correlated | -3.68% | ||
| WPM - SLVP | 91% Closely correlated | -2.95% | ||
| AEM - SLVP | 90% Closely correlated | -4.27% | ||
| NEM - SLVP | 89% Closely correlated | -3.26% | ||
| CDE - SLVP | 89% Closely correlated | -4.86% | ||
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