Silver mining ETFs have gained relevance amid fluctuating commodity prices, growing industrial applications in solar and electronics, and investor interest in precious metals as portfolio diversifiers. The Global X Silver Miners ETF (SIL) and the iShares MSCI Global Silver and Metals Miners ETF (SLVP) both target this niche but employ distinct indices, resulting in differences in diversification, costs, and exposure profiles. They serve as alternatives rather than direct competitors within the same thematic sector, allowing investors to select based on fee sensitivity and holding concentration preferences.
The Global X Silver Miners ETF (SIL) is a passively managed fund that seeks to track the Solactive Global Silver Miners Total Return Index. It holds approximately 40 securities focused on companies primarily engaged in silver mining. Top holdings typically include Wheaton Precious Metals, Pan American Silver, and Coeur Mining, with the portfolio heavily weighted toward basic materials. The fund maintains an expense ratio of 0.65% and features a market-capitalization weighting methodology with periodic rebalancing. Its larger asset base supports strong liquidity characteristics in the silver miners segment.
The iShares MSCI Global Silver and Metals Miners ETF (SLVP) is a passively managed vehicle designed to replicate the performance of the MSCI ACWI Select Silver Miners Investable Market Index. It contains around 35 holdings, with a geographic tilt toward Canadian and U.S. issuers. The fund applies market-capitalization weighting and features an expense ratio of 0.39%, making it more cost-efficient. Sector allocation remains almost entirely within metals and mining, and the structure emphasizes companies involved in silver extraction and related activities.
The silver mining sector operates within a dynamic environment influenced by industrial demand from renewable energy technologies, electronics manufacturing, and traditional uses in jewelry and investment. Macroeconomic drivers include interest rate expectations, inflation hedging flows, and supply constraints from major producing regions. Regulatory developments around mining permits and environmental standards, along with geopolitical factors affecting global supply chains, represent ongoing considerations. Capital flows into precious metals ETFs often intensify during periods of economic uncertainty or commodity price rallies, though the sector faces risks from operational costs, ore grade declines, and currency fluctuations.
In recent market cycles, both ETFs have demonstrated sensitivity to silver price movements and sector rotation within materials. SLVP has shown relatively stronger results in certain periods attributable to its lower cost structure and index composition, while SIL benefits from broader diversification that can moderate volatility in some environments. Performance differences also tie to earnings cycles of top holdings, with larger producers in SIL potentially offering more stability during commodity swings compared to the more concentrated approach in SLVP. Relative positioning highlights trade-offs between fee efficiency and scale.
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Based on observable structural factors, Tickeron’s AI would likely assign a modest probabilistic edge to SLVP in the current environment due to its lower expense ratio, competitive diversification within the silver miners theme, and alignment with cost-efficient exposure. SIL remains a viable alternative for investors prioritizing greater scale and liquidity, though the fee differential and index methodology favor SLVP on a relative basis when evaluating long-term holding efficiency and risk-adjusted characteristics.
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| SIL | SLVP | SIL / SLVP | |
| Gain YTD | 6.109 | 5.966 | 102% |
| Net Assets | 4.74B | 941M | 503% |
| 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 (%) | 4 days ago 89% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 89% | 4 days ago 86% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 6 days ago 90% | 6 days ago 90% |
| Declines ODDS (%) | 13 days ago 87% | 13 days ago 87% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 88% |
| Aroon ODDS (%) | 4 days ago 87% | 4 days ago 86% |
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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% | +6.29% | ||
| PAAS - SIL | 95% Closely correlated | +6.60% | ||
| WPM - SIL | 94% Closely correlated | +7.10% | ||
| CDE - SIL | 90% Closely correlated | +11.12% | ||
| OR - SIL | 88% Closely correlated | +2.89% | ||
| VZLA - SIL | 81% Closely correlated | +5.95% | ||
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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 94% 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% | +6.60% | ||
| PAAS - SLVP | 94% Closely correlated | +6.60% | ||
| WPM - SLVP | 91% Closely correlated | +7.10% | ||
| AEM - SLVP | 90% Closely correlated | +6.49% | ||
| NEM - SLVP | 89% Closely correlated | +7.16% | ||
| CDE - SLVP | 89% Closely correlated | +11.12% | ||
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