Investors seeking exposure to materials and natural resources currently have distinct choices in COPX, MGNR, and MXI. These exchange-traded funds do not track identical indexes but instead represent varied strategic approaches to the same overarching theme of commodity-related equities. COPX focuses narrowly on copper miners, MGNR employs active management across a wide natural resources universe, and MXI delivers broad passive coverage of the global materials sector. This comparison highlights how their structural differences affect diversification, costs, and positioning amid ongoing demand for metals and resources driven by electrification and infrastructure trends.
The Global X Copper Miners ETF (COPX) is a passively managed exchange-traded fund that seeks to track the Solactive Global Copper Miners Total Return Index. The fund typically holds approximately 40 to 45 securities, with a focus on companies involved in copper exploration, mining, and production. Top holdings often include major producers such as BHP Group, Teck Resources, Hudbay Minerals, Southern Copper, and First Quantum Minerals. Sector allocation is heavily concentrated in basic materials, exceeding 95% in recent periods. The expense ratio stands at 0.65%. As a non-diversified thematic fund, it employs market-capitalization weighting with periodic rebalancing to maintain alignment with the underlying index, providing efficient single-trade access to the copper mining industry.
The American Beacon GLG Natural Resources ETF (MGNR) is an actively managed exchange-traded fund launched in early 2024. It invests at least 80% of assets in equity securities of companies primarily engaged in natural resources and related businesses, encompassing metals, energy, agriculture, timber, water, and chemicals. The portfolio typically contains 36 to 51 holdings, with top positions including names such as Methanex, Range Resources, Antero Resources, EQT, and Darling Ingredients. Sector weights span basic materials, energy, and consumer defensive areas. The expense ratio is 0.75%. Active management allows flexible security selection and rebalancing based on fundamental opportunities rather than strict index rules, resulting in a concentrated, high-conviction approach to the broad natural resources theme.
The iShares Global Materials ETF (MXI) is a passively managed exchange-traded fund that tracks the S&P Global 1200 Materials Sector Capped Index. It holds approximately 91 securities, emphasizing large-cap global companies in the materials sector, including chemicals, metals and mining, and containers and packaging. Representative top holdings include BHP, Linde, Newmont, Air Liquide, and Rio Tinto. Sector allocation centers on basic materials with some industrial exposure. The expense ratio is 0.37%. The fund uses a market-capitalization weighting methodology with quarterly rebalancing to reflect index changes, delivering diversified, cost-efficient exposure to the global materials industry through physical replication.
The materials and natural resources sectors operate within a macro environment shaped by global electrification, renewable energy expansion, and infrastructure development. Copper and other base metals face structural demand growth from electric vehicles and data centers, while broader materials companies contend with supply constraints, regulatory changes around mining permits, and geopolitical tensions affecting key producing regions. Capital flows into commodity-linked equities have increased in recent market cycles as investors seek inflation hedges and diversification from traditional equities. Earnings trends among major holdings reflect commodity price volatility, with energy transition themes supporting long-term positioning. Sector risks include cyclical downturns, environmental regulations, and currency fluctuations in international operations.
In recent months and market cycles, the three ETFs have exhibited differing behaviors tied to their structural profiles. COPX has shown higher volatility and stronger sensitivity to copper price movements due to its concentrated thematic focus. MGNR's active approach has allowed potential outperformance in select natural resources subsectors but introduces manager-specific risk and higher costs. MXI has delivered more stable, broad-based returns with lower drawdowns in diversified materials exposure, benefiting from its large-cap tilt and lower expense ratio. Relative positioning reflects concentration risk in COPX, active flexibility in MGNR, and broad diversification in MXI, influencing how each responds to macroeconomic drivers such as interest rates and commodity cycles.
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 ETFs like COPX, MGNR, and MXI can leverage this platform to refine their analysis.
Based on observable structural strength, MXI presents the most favorable risk-adjusted profile for broad materials exposure due to its superior diversification across 91 holdings, lowest expense ratio, and passive index methodology that minimizes concentration risk. COPX offers compelling thematic precision for copper-specific views but carries higher volatility. MGNR provides active flexibility at a premium cost. Tickeron’s AI would currently assign the highest probabilistic favorability to MXI for investors prioritizing cost efficiency and broad positioning within the materials sector.
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.
| COPX | MGNR | MXI | |
| Gain YTD | 26.714 | 25.262 | 20.511 |
| Net Assets | 8.12B | 1.3B | 409M |
| Total Expense Ratio | 0.65 | 0.75 | 0.37 |
| Turnover | 21.67 | 80.00 | 11.00 |
| Yield | 2.07 | 0.75 | 1.59 |
| Fund Existence | 16 years | 3 years | 20 years |
| COPX | MGNR | MXI | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 80% | 4 days ago 79% | 4 days ago 86% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 77% | 4 days ago 83% |
| Momentum ODDS (%) | 4 days ago 88% | 4 days ago 76% | 4 days ago 86% |
| MACD ODDS (%) | 4 days ago 84% | 4 days ago 76% | 4 days ago 85% |
| TrendWeek ODDS (%) | 4 days ago 87% | 4 days ago 90% | 4 days ago 81% |
| TrendMonth ODDS (%) | 4 days ago 89% | 4 days ago 90% | 4 days ago 79% |
| Advances ODDS (%) | 5 days ago 90% | 5 days ago 90% | 5 days ago 86% |
| Declines ODDS (%) | 7 days ago 88% | 7 days ago 70% | 7 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 88% | 4 days ago 67% | 4 days ago 82% |
| Aroon ODDS (%) | 4 days ago 88% | 4 days ago 90% | 4 days ago 78% |
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% | -0.65% | ||
| BHP - COPX | 83% Closely correlated | -0.34% | ||
| WDS - COPX | 57% Loosely correlated | -1.64% | ||
| NEXA - COPX | 30% Poorly correlated | -0.36% | ||
| TKO - COPX | 13% Poorly correlated | -1.80% | ||
| 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% | -0.52% | ||
| PAAS - MGNR | 77% Closely correlated | -2.40% | ||
| KGC - MGNR | 77% Closely correlated | -2.28% | ||
| CDE - MGNR | 77% Closely correlated | -1.89% | ||
| AU - MGNR | 74% Closely correlated | -2.33% | ||
| CX - MGNR | 52% Loosely correlated | +1.47% | ||
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A.I.dvisor indicates that over the last year, MXI has been closely correlated with RIO. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if MXI jumps, then RIO could also see price increases.