ASA Gold and Precious Metals Limited (ASA) and Amplify Junior Silver Miners ETF (SILJ) both target investors seeking exposure to precious metals mining equities. They do not compete directly as one emphasizes a closed-end approach to gold and broader precious minerals while the other focuses on junior silver miners through an ETF structure. The comparison remains relevant for those evaluating sector exposure within precious metals, where differing risk profiles, cost structures, and thematic tilts can influence portfolio allocation decisions amid fluctuating commodity cycles.
ASA Gold and Precious Metals Limited (ASA) operates as a closed-end fund with a mandate requiring at least 80% of total assets in securities of companies engaged in the exploration, mining, or processing of gold, silver, platinum, diamonds, or other precious minerals, as well as direct bullion holdings. It typically maintains around 111 holdings with an annual portfolio turnover of approximately 30%. Top holdings often include names such as G Mining Ventures Corp, Americas Gold and Silver Corp, and Orla Mining Ltd. The fund’s expense ratio stands near 1.88%, reflecting its closed-end structure and management approach. ASA provides differentiated access to precious metals equities with a notable gold emphasis and does not track a specific index in the manner of passive ETFs.
Amplify Junior Silver Miners ETF (SILJ) is a passively managed exchange-traded fund that seeks to track the total return performance of the Nasdaq Junior Silver Miners Index before fees and expenses. It holds approximately 65-67 securities, primarily smaller and mid-sized companies involved in silver mining and exploration. Top holdings commonly feature Hecla Mining Co (HL), First Majestic Silver Corp (AG), and KGHM Polska Miedz SA, with the top 10 representing over 55% of assets. The fund maintains an expense ratio of 0.69% and follows a rules-based index methodology with periodic rebalancing. SILJ offers targeted exposure to the junior silver mining segment, which tends to exhibit greater sensitivity to silver price movements compared with larger producers.
The precious metals mining sector remains influenced by gold and silver price trends, global economic uncertainty, interest rate expectations, and supply constraints. Capital flows into mining equities often respond to inflation hedging demand and geopolitical developments that support safe-haven buying. Regulatory considerations around mining permits and environmental standards, along with capital expenditure cycles at operating companies, shape the operating environment. Both funds face risks from commodity volatility, operational challenges at mining sites, and broader equity market sentiment toward cyclical materials sectors.
In recent market cycles, ASA Gold and Precious Metals Limited (ASA) has delivered exposure tied to a mix of gold and silver mining equities, with performance influenced by the relative strength of larger precious metals producers. Amplify Junior Silver Miners ETF (SILJ) has shown greater sensitivity to silver price rallies due to its junior miner focus, which can amplify gains or losses during sector rotations. Relative positioning highlights ASA’s broader diversification across precious minerals versus SILJ’s concentrated silver junior tilt, resulting in differing volatility profiles and correlations to underlying metal prices over multi-month periods.
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 seeking data-driven insights on funds like ASA or SILJ can leverage this platform for additional analysis.
Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favorability to Amplify Junior Silver Miners ETF (SILJ) due to its lower expense ratio, standard ETF liquidity profile, and focused positioning within the silver mining segment amid ongoing commodity interest. ASA Gold and Precious Metals Limited (ASA) offers compelling broader precious metals diversification but carries a higher cost structure and closed-end characteristics that introduce additional premium or discount considerations.
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 | SILJ | ASA / SILJ | |
| Gain YTD | 4.389 | 13.553 | 32% |
| Net Assets | 1.33B | 4.17B | 32% |
| Total Expense Ratio | N/A | 0.69 | - |
| Turnover | 30.00 | 47.00 | 64% |
| Yield | 0.12 | 2.30 | 5% |
| Fund Existence | 68 years | 14 years | - |
| ASA | SILJ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 88% |
| 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 89% |
| BollingerBands ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 89% |
A.I.dvisor indicates that over the last year, SILJ 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 SILJ jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SILJ | 1D Price Change % | ||
|---|---|---|---|---|
| SILJ | 100% | +9.55% | ||
| PAAS - SILJ | 93% Closely correlated | +7.94% | ||
| CDE - SILJ | 91% Closely correlated | +13.07% | ||
| WPM - SILJ | 91% Closely correlated | +11.10% | ||
| SKE - SILJ | 88% Closely correlated | +9.81% | ||
| OR - SILJ | 87% Closely correlated | +8.02% | ||
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