Global X Copper Miners ETF (COPX) and American Beacon GLG Natural Resources ETF (MGNR) represent distinct approaches within the natural resources space. COPX delivers focused equity exposure to copper miners, while MGNR pursues active selection across multiple resource categories. These ETFs do not compete directly but offer investors alternative strategies for gaining sector exposure amid ongoing demand for commodities driven by energy transition and infrastructure needs. The comparison helps clarify structural trade-offs in cost, diversification, and thematic emphasis.
Global X Copper Miners ETF (COPX) tracks the Solactive Global Copper Miners Total Return Index, providing passive exposure to companies involved in copper exploration, extraction, and refinement. The fund holds approximately 40 securities, with top positions typically including names such as Hudbay Minerals Inc., Teck Resources Ltd., BHP Group Ltd., Antofagasta Plc, and KGHM Polska Miedz SA. Sector allocation centers overwhelmingly on materials, reflecting its thematic mandate. The expense ratio stands at 0.65%, and the structure is a non-diversified open-end fund listed on NYSE Arca. Rebalancing follows the underlying index methodology, delivering efficient single-trade access to the copper mining industry without active stock selection.
American Beacon GLG Natural Resources ETF (MGNR) is an actively managed fund launched in February 2024 that invests at least 80% of assets in equity securities of companies engaged in natural resources and related businesses, including metals, energy, agriculture, timber, water, and chemicals. The portfolio typically contains 30-60 holdings, with recent top positions spanning Hudbay Minerals Inc., ArcelorMittal S.A., Smurfit Westrock plc, Venture Global Inc., and AngloGold Ashanti plc. Sector exposure spans basic materials, energy, consumer defensive, and industrials. The expense ratio is 0.75%, and the fund features quarterly distributions. As an active ETF, it employs manager-driven security selection and rebalancing rather than strict index replication.
The natural resources sector continues to experience structural demand from global electrification, renewable energy infrastructure, and industrial expansion. Copper remains central to electric vehicles and power grid upgrades, supporting thematic interest in dedicated miners. Broader natural resources encompass energy and agricultural commodities that historically respond to inflation, supply constraints, and geopolitical developments. Capital flows into resource equities reflect ongoing interest in diversification beyond traditional equities and bonds. Regulatory and macroeconomic factors, including permitting timelines for mining projects and commodity price cycles, influence both focused and diversified strategies within the space.
In recent market cycles, COPX has exhibited volatility consistent with copper price movements and sector-specific news, benefiting from concentrated exposure during periods of strong metals demand. MGNR’s active mandate allows flexibility across resource sub-sectors, potentially moderating swings through broader allocation during energy or agricultural rotations. Both funds have participated in commodity-driven rallies, yet differences in concentration and management style contribute to distinct risk profiles. COPX’s lower expense ratio and passive construction may support more consistent tracking of its underlying theme, while MGNR’s active approach introduces potential for outperformance or underperformance relative to broad resource benchmarks depending on security selection.
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 ETFs like COPX and MGNR can leverage the platform for systematic analysis.
Based on observable structural factors including lower expense ratio, established passive index methodology, and focused thematic consistency, Tickeron’s AI would currently assign a higher probability of preference to Global X Copper Miners ETF (COPX) for investors seeking targeted copper exposure. MGNR’s active management and broader diversification offer complementary attributes, yet the cost efficiency and index discipline of COPX align more closely with durable, rules-based positioning in the current environment.
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| COPX | MGNR | COPX / MGNR | |
| Gain YTD | 32.207 | 26.765 | 120% |
| Net Assets | 8.6B | 969M | 888% |
| Total Expense Ratio | 0.65 | 0.75 | 87% |
| Turnover | 21.67 | 80.00 | 27% |
| Yield | 2.45 | 0.84 | 290% |
| Fund Existence | 16 years | 3 years | - |
| COPX | MGNR | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 84% | 3 days ago 68% |
| Stochastic ODDS (%) | 3 days ago 79% | 3 days ago 85% |
| Momentum ODDS (%) | 3 days ago 86% | 3 days ago 88% |
| MACD ODDS (%) | 4 days ago 90% | N/A |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 11 days ago 89% | 26 days ago 70% |
| BollingerBands ODDS (%) | 3 days ago 84% | 3 days ago 74% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 90% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
|---|---|---|---|---|
| COPX | 100% | +5.18% | ||
| BHP - COPX | 83% Closely correlated | +3.63% | ||
| WDS - COPX | 57% Loosely correlated | +0.87% | ||
| NEXA - COPX | 30% Poorly correlated | +9.45% | ||
| TKO - COPX | 13% Poorly correlated | -1.18% | ||
| MTAL - COPX | -3% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, MGNR has been closely correlated with PAAS. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if MGNR jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To MGNR | 1D Price Change % | ||
|---|---|---|---|---|
| MGNR | 100% | +2.03% | ||
| PAAS - MGNR | 77% Closely correlated | +2.21% | ||
| KGC - MGNR | 77% Closely correlated | +4.23% | ||
| CDE - MGNR | 77% Closely correlated | -0.66% | ||
| AU - MGNR | 73% Closely correlated | +5.94% | ||
| CX - MGNR | 51% Loosely correlated | +4.81% | ||
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