Precious metals mining equities offer investors a leveraged way to participate in gold and silver price movements driven by inflation hedging, monetary policy shifts, and industrial demand. ASA Gold and Precious Metals Limited (ASA) and Global X Silver Miners ETF (SIL) both target this space but employ distinct structures and focus areas. They do not compete directly; rather, they provide complementary or alternative exposure within the precious metals sector, allowing investors to select based on preferences for diversification breadth, cost efficiency, or silver-specific thematic positioning.
ASA Gold and Precious Metals Limited (ASA) is a closed-end fund (CEF) that invests primarily in companies engaged in the exploration, mining, or processing of gold, silver, platinum, diamonds, and other precious minerals, along with direct bullion holdings. The fund follows a policy requiring at least 80% of total assets in such precious metals-related investments. It holds approximately 111 securities with an expense ratio of 1.88%. Top holdings typically include major precious metals producers, though concentration varies with market conditions. The fund features an annual portfolio turnover of around 30% and operates as an actively managed vehicle with a fundamental investment approach rather than strict index tracking.
Global X Silver Miners ETF (SIL) is a passive exchange-traded fund (ETF) designed to track the performance of the Solactive Global Silver Miners Index, which comprises companies actively involved in silver mining, exploration, and refining. The fund maintains 39–43 holdings, with an expense ratio of 0.65%. Assets are allocated nearly entirely (approximately 99%) to the basic materials sector. Top holdings include Wheaton Precious Metals Corp. (WPM), Pan American Silver Corp. (PAAS), Coeur Mining Inc. (CDE), Industrias Peñoles SAB de CV, and Hecla Mining Company (HL), with the top 10 positions often accounting for over 70% of assets. SIL employs market-capitalization weighting and periodic rebalancing consistent with its underlying index methodology.
The precious metals mining sector benefits from ongoing demand for gold as a store of value amid macroeconomic uncertainty and silver’s dual role in monetary and industrial applications, particularly in solar energy, electronics, and electric vehicles. Capital flows into the space often accelerate during periods of elevated inflation expectations, geopolitical tensions, or declining real yields. Regulatory developments around mining permits and environmental standards, along with commodity price volatility, represent key risks. Silver miners specifically face additional sensitivity to industrial cycles compared with broader precious metals funds.
In recent market cycles, silver-focused equities have exhibited higher volatility than broader precious metals portfolios due to silver’s greater industrial demand component and smaller market size relative to gold. SIL’s concentrated holdings in leading silver producers can amplify returns during silver price rallies driven by supply constraints or green energy demand, while also increasing drawdowns in downturns. ASA’s wider mandate across gold and other precious metals provides a more diversified risk profile within the sector, potentially offering steadier performance during rotations between gold and silver. Relative positioning favors SIL for investors seeking pure silver beta and ASA for those preferring multi-metal exposure with a closed-end fund (CEF) discount/premium dynamic.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors comparing funds like ASA and SIL can leverage this resource to refine their analysis.
Tickeron’s AI would currently favor Global X Silver Miners ETF (SIL) on a probabilistic basis due to its lower expense ratio, passive index-tracking efficiency, and targeted silver mining exposure amid favorable sector momentum. The ETF’s structural advantages in cost and liquidity, combined with a concentrated yet rules-based portfolio, position it favorably for investors seeking silver-specific thematic participation compared with ASA’s higher-cost closed-end fund (CEF) format and broader precious metals mandate.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| ASA | SIL | ASA / SIL | |
| Gain YTD | 4.389 | 14.945 | 29% |
| Net Assets | 1.33B | 5.2B | 26% |
| Total Expense Ratio | N/A | 0.65 | - |
| Turnover | 30.00 | 27.57 | 109% |
| Yield | 0.12 | 1.38 | 8% |
| Fund Existence | 68 years | 16 years | - |
| ASA | SIL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Declines ODDS (%) | 24 days ago 85% | 24 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 81% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 89% |
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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% | +9.53% | ||
| PAAS - SIL | 95% Closely correlated | +7.94% | ||
| WPM - SIL | 94% Closely correlated | +11.10% | ||
| CDE - SIL | 91% Closely correlated | +13.07% | ||
| OR - SIL | 89% Closely correlated | +8.02% | ||
| VZLA - SIL | 82% Closely correlated | +8.96% | ||
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