ASA Gold and Precious Metals Limited (ASA) and Global X Silver Miners ETF (SIL) offer investors distinct pathways to precious metals exposure through mining equities. These funds do not compete directly but provide alternative strategies within the precious metals sector, with ASA delivering active, diversified precious metals coverage and SIL offering passive, silver-focused equity exposure. Investors comparing them often evaluate structural efficiency, cost, and thematic alignment amid fluctuating commodity markets and mining industry cycles.
ASA Gold and Precious Metals Limited (ASA) operates as a closed-end fund (CEF) with an investment objective of long-term capital appreciation through holdings in companies engaged in the exploration, mining, or processing of gold, silver, platinum, and other precious minerals. The fund typically holds 80-90 securities and employs bottom-up fundamental analysis for security selection. Top holdings often include major gold and precious metals producers, with allocations spanning gold-dominant and diversified mining firms. Sector exposure centers on basic materials, particularly precious metals mining. The expense structure includes a management fee around 0.52% with total expenses higher, reflecting its active management approach. Distinguishing features include its closed-end structure, which can result in trading at discounts or premiums to net asset value (NAV), and a focus on fundamental research rather than index replication.
Global X Silver Miners ETF (SIL) is a passive exchange-traded fund (ETF) that seeks to track the Solactive Global Silver Miners Total Return Index. The fund holds approximately 40 securities, with top holdings typically including Wheaton Precious Metals (WPM), Pan American Silver (PAAS), and Coeur Mining (CDE). Sector allocation concentrates heavily in basic materials, specifically silver mining and related activities. The expense ratio stands at 0.65%. As a standard open-end ETF, it features daily liquidity, transparent holdings, and physical replication of the underlying index. Key characteristics include semi-annual distributions and a non-diversified structure focused exclusively on the silver mining industry.
The precious metals mining sector encompasses gold and silver producers that respond to commodity price movements, industrial demand, and macroeconomic factors. Silver benefits from both monetary and industrial uses, including solar energy, electronics, and electric vehicles, creating distinct demand drivers compared to gold's primary role as a store of value. Capital flows into mining equities often correlate with metal price trends, interest rate expectations, and supply constraints. Regulatory developments around mining operations and geopolitical factors influencing supply chains represent ongoing considerations. Both funds operate within this environment, where sector rotation and commodity cycles influence relative performance.
In recent market cycles, performance differences between the two have reflected their distinct exposures and structures. Global X Silver Miners ETF (SIL) has shown sensitivity to silver price movements and industrial demand shifts, with volatility tied to mining company earnings. ASA Gold and Precious Metals Limited (ASA), with its broader precious metals focus and active management, has demonstrated positioning influenced by gold price dynamics and fundamental stock selection. Relative volatility tends to be higher for concentrated silver miners during commodity swings, while the closed-end fund structure of ASA introduces additional NAV discount or premium effects. Investors often assess these funds for their roles in sector rotation strategies and commodity trend exposure.
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. AI Screener
Based on observable factors such as lower expense ratio, standard ETF liquidity profile, focused silver sector positioning, and efficient index tracking, Tickeron’s AI would currently assign a modestly higher probability of favorability to Global X Silver Miners ETF (SIL) over ASA Gold and Precious Metals Limited (ASA).
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| ASA | SIL | ASA / SIL | |
| Gain YTD | 2.008 | 15.533 | 13% |
| Net Assets | 1.46B | 5.12B | 29% |
| Total Expense Ratio | N/A | 0.65 | - |
| Turnover | 30.00 | 27.57 | 109% |
| Yield | 0.09 | 1.04 | 9% |
| Fund Existence | 68 years | 16 years | - |
| ASA | SIL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 86% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 5 days ago 84% | 5 days ago 86% |
| BollingerBands ODDS (%) | 2 days ago 90% | N/A |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 87% |
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A.I.dvisor tells us that ASA and EMR have been poorly correlated (+1% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ASA and EMR's prices will move in lockstep.
| Ticker / NAME | Correlation To ASA | 1D Price Change % | ||
|---|---|---|---|---|
| ASA | 100% | +0.93% | ||
| EMR - ASA | 1% Poorly correlated | +2.57% | ||
| SSRM - ASA | -4% Poorly correlated | +0.08% | ||
| AGI - ASA | -4% Poorly correlated | +0.70% | ||
| ORLA - ASA | -6% Poorly correlated | N/A |
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% | +0.17% | ||
| PAAS - SIL | 95% Closely correlated | -0.61% | ||
| WPM - SIL | 94% Closely correlated | +2.08% | ||
| CDE - SIL | 91% Closely correlated | +1.18% | ||
| OR - SIL | 89% Closely correlated | +0.53% | ||
| VZLA - SIL | 82% Closely correlated | -0.75% | ||
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