ASA
Price
$60.83
Change
+$0.56 (+0.93%)
Updated
Sep 11 closing price
Net Assets
1.46B
Intraday BUY SELL Signals
SGDM
Price
$80.82
Change
+$0.50 (+0.62%)
Updated
Sep 11 closing price
Net Assets
712.95M
Intraday BUY SELL Signals
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ASA vs SGDM

ASA vs SGDM Comparison Chart in %
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A.I.Advisor
Aug 26, 2026

Which ETF would AI Choose? ASA Gold and Precious Metals Limited (ASA) vs. Sprott Gold Miners ETF (SGDM)

Key Takeaways

  • ASA Gold and Precious Metals Limited (ASA) operates as a closed-end fund with a concentrated portfolio of approximately 84 holdings focused on gold and precious metals mining companies, while Sprott Gold Miners ETF (SGDM) is an open-end exchange-traded fund tracking a custom factors-based index of gold miners.
  • SGDM maintains a lower expense ratio of 0.46% compared to ASA's higher total expense structure, which includes management fees around 0.52% plus additional costs, potentially impacting long-term net returns for investors.
  • Both ETFs target exposure to the gold mining sector, but ASA emphasizes bottom-up fundamental analysis across global precious metals firms, whereas SGDM applies a rules-based approach weighting companies by revenue growth, free cash flow yield, and lower debt-to-equity ratios.
  • ASA's closed-end structure often results in trading at a discount or premium to net asset value, introducing an additional layer of volatility distinct from SGDM's more direct market-price alignment with its underlying holdings.
  • Sector allocations for both center on materials, particularly gold producers, with SGDM showing notable geographic concentration in Canada and the United States, while ASA maintains broader international diversification across precious metals explorers and producers.
  • Investors seeking passive, cost-efficient exposure to large-cap gold miners may find SGDM's index methodology more aligned with systematic factor tilts, whereas ASA suits those preferring active, research-driven selection in a closed-end vehicle.

Introduction

ASA Gold and Precious Metals Limited (ASA) and Sprott Gold Miners ETF (SGDM) both provide targeted access to the gold mining industry, making them relevant for investors seeking precious metals equity exposure amid ongoing commodity cycles and macroeconomic uncertainty. These vehicles do not compete directly as identical products; instead, they represent distinct structures within the same thematic sector—ASA as an actively managed closed-end fund and SGDM as a passively managed exchange-traded fund. The comparison highlights differences in cost, liquidity mechanics, portfolio construction, and risk profiles that can influence suitability based on investor objectives such as diversification, cost sensitivity, or tolerance for structural premiums or discounts.

ASA Gold and Precious Metals Limited (ASA) Overview

ASA Gold and Precious Metals Limited (ASA) is a closed-end fund with an investment objective focused on long-term capital appreciation through holdings in companies engaged in the exploration, development, or mining of precious metals and minerals, primarily gold. The fund typically maintains around 84 holdings selected via bottom-up fundamental analysis, including meetings with executives and site visits. Top holdings often feature major gold producers alongside smaller exploration firms. Sector allocation remains heavily weighted toward materials, with emphasis on gold and related precious metals. The expense ratio includes a management fee of approximately 0.52% plus other costs, resulting in a higher total expense burden. As a closed-end structure, ASA does not create or redeem shares daily, which can lead to persistent discounts or premiums to net asset value. Rebalancing occurs through active portfolio management rather than mechanical index rules.

Sprott Gold Miners ETF (SGDM) Overview

Sprott Gold Miners ETF (SGDM) seeks to track the performance of the Solactive Gold Miners Custom Factors Index before fees and expenses. The fund holds approximately 49 securities, with at least 90% of assets in index constituents. Top holdings typically include established producers such as Agnico Eagle Mines, Barrick Gold, Newmont, Wheaton Precious Metals, and Franco-Nevada. Sector exposure concentrates in materials, specifically gold mining equities, with geographic allocation weighted toward Canada and the United States. The expense ratio stands at 0.46%. SGDM employs a passive strategy with quarterly index reconstitution based on factors including revenue growth, free cash flow yield, and lower leverage. This rules-based methodology differentiates it from traditional market-cap weighting and supports systematic rebalancing without discretionary intervention.

Industry and Thematic Backdrop

The gold mining sector operates within a broader precious metals environment influenced by macroeconomic factors such as interest rate expectations, inflation trends, and geopolitical developments. Capital flows into gold-related equities often respond to shifts in real yields and currency movements. Regulatory considerations around mining operations and environmental standards can affect project timelines and costs. Both ETFs face risks from commodity price volatility, operational challenges at mining sites, and potential changes in global supply dynamics. Recent market cycles have highlighted the sector's sensitivity to broader equity rotations and monetary policy signals, creating opportunities for differentiated exposure strategies within gold miners.

Performance and Positioning Comparison

In recent market cycles, SGDM's factor-tilted index has positioned it toward companies with stronger balance sheets and cash flow characteristics, potentially contributing to relative resilience during periods of sector rotation. ASA's active selection process allows for opportunistic adjustments across a wider range of holdings, including smaller or international names, which can amplify both upside participation and downside volatility in gold price movements. Over broader timeframes, differences in expense structures and trading mechanics—such as ASA's closed-end discount dynamics versus SGDM's daily liquidity—have influenced relative positioning. Both vehicles respond to earnings cycles of major producers and commodity trends, yet SGDM's rules-based approach may deliver more consistent factor exposure, while ASA offers greater flexibility in navigating evolving industry conditions.

AI Screener

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 vehicles like ASA and SGDM can leverage these capabilities to refine their research process.

Tickeron AI Verdict

Based on observable factors including lower expense ratio, rules-based factor methodology, and direct index alignment, Tickeron’s AI would currently assign a higher probability of structural preference to Sprott Gold Miners ETF (SGDM) for investors prioritizing cost efficiency and systematic exposure within the gold miners theme. ASA Gold and Precious Metals Limited (ASA) may appeal in scenarios where active management and closed-end characteristics align with specific portfolio needs, though its higher costs introduce a relative headwind in probabilistic assessments of long-term efficiency.

Disclaimer

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.

Disclaimers and Limitations

VS
ASA vs. SGDM commentary
Sep 13, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is ASA is a StrongBuy and SGDM is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
ASA has more net assets: 1.46B vs. SGDM (713M). SGDM has a higher annual dividend yield than ASA: SGDM (16.071) vs ASA (2.008). ASA was incepted earlier than SGDM: ASA (68 years) vs SGDM (12 years). SGDM has a higher turnover ASA (30.00) vs ASA (30.00).
ASASGDMASA / SGDM
Gain YTD2.00816.07112%
Net Assets1.46B713M205%
Total Expense RatioN/A0.46-
Turnover30.0059.0051%
Yield0.090.8910%
Fund Existence68 years12 years-
TECHNICAL ANALYSIS
Technical Analysis
ASASGDM
RSI
ODDS (%)
Bearish Trend 2 days ago
88%
Bearish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
86%
Bearish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
82%
Bearish Trend 2 days ago
81%
MACD
ODDS (%)
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
90%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
87%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 10 days ago
90%
Bullish Trend 10 days ago
90%
Declines
ODDS (%)
Bearish Trend 5 days ago
84%
Bearish Trend 5 days ago
87%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
Aroon
ODDS (%)
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
90%
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ASA
Daily Signal:
Gain/Loss:
SGDM
Daily Signal:
Gain/Loss:
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ASA and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To ASA
1D Price
Change %
ASA100%
+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

SGDM and

Correlation & Price change

A.I.dvisor indicates that over the last year, SGDM has been closely correlated with AEM. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDM jumps, then AEM could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SGDM
1D Price
Change %
SGDM100%
+0.62%
AEM - SGDM
96%
Closely correlated
+1.87%
WPM - SGDM
95%
Closely correlated
+2.08%
NEM - SGDM
93%
Closely correlated
+0.53%
IAG - SGDM
92%
Closely correlated
+0.85%
PAAS - SGDM
91%
Closely correlated
-0.61%
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