American Beacon GLG Natural Resources ETF (MGNR) and SPDR S&P Metals & Mining ETF (XME) both target equities tied to natural resources and mining activities. They do not compete directly as identical products but instead offer alternative exposure within the broader resources sector. MGNR employs active management for global natural resources opportunities, while XME delivers passive, equal-weighted access to U.S. metals and mining companies. Investors evaluating sector exposure, cost efficiency, and thematic positioning in the current environment may compare these two ETFs to determine which aligns better with portfolio objectives.
American Beacon GLG Natural Resources ETF (MGNR) is an actively managed exchange-traded fund launched in February 2024. The fund seeks long-term capital appreciation by investing at least 80% of its assets in equity securities of companies primarily engaged in natural resources and related businesses. These include metals, agricultural products, timber, water, energy from fossil and renewable sources, and chemicals. The portfolio typically contains 30 to 60 global large- and mid-cap holdings. Top positions have included companies such as Hudbay Minerals Inc., Equinox Gold Corp., and Teck Resources Ltd. The expense ratio stands at 0.75%. Sub-advisor GLG applies fundamental top-down and bottom-up research without tracking a specific index. The fund distributes dividends quarterly.
SPDR S&P Metals & Mining ETF (XME) is a passively managed exchange-traded fund launched in June 2006. It seeks to track the total return performance of the S&P Metals and Mining Select Industry Index before fees and expenses. The index represents the metals and mining segment of the S&P Total Market Index and includes sub-industries such as aluminum, copper, diversified metals and mining, gold, silver, steel, and coal. The fund employs a sampling strategy and maintains a modified equal-weighted approach with approximately 39 holdings. Top holdings have included Uranium Energy Corp., Hecla Mining Co., and Centrus Energy Corp. The expense ratio is 0.35%. The index rebalances quarterly. The fund distributes dividends quarterly and focuses exclusively on U.S.-listed securities.
The metals and mining sector operates within a macroeconomic environment shaped by commodity price cycles, global industrial demand, and energy transition trends. Capital flows into resource equities often respond to inflation expectations, supply constraints, and infrastructure spending. Regulatory developments around mining permits and environmental standards can influence both domestic and international producers. Geopolitical tensions affecting critical minerals supply chains and shifts in renewable energy adoption represent ongoing catalysts. Sector risks include commodity price volatility, operational challenges in extraction, and sensitivity to interest rate movements that affect capital-intensive projects.
In recent market cycles, American Beacon GLG Natural Resources ETF (MGNR) has exhibited performance tied to its active selection of global natural resources names, potentially offering differentiation during commodity upswings driven by specific company fundamentals. SPDR S&P Metals & Mining ETF (XME) has shown sensitivity to U.S. metals and mining earnings cycles and broader industrial production trends. Relative positioning highlights MGNR’s wider geographic reach versus XME’s concentrated U.S. equal-weighted exposure. Volatility differences arise from MGNR’s active concentration and XME’s equal-weight methodology, which can amplify smaller-company movements within the metals sector during rotation 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 ETFs like MGNR and XME may explore the platform for additional analysis.
Based on observable structural factors, Tickeron’s AI would likely assign a modest preference to SPDR S&P Metals & Mining ETF (XME) at present. The lower expense ratio, established passive framework, and equal-weighted diversification within the U.S. metals and mining segment support favorable positioning on cost efficiency and liquidity. American Beacon GLG Natural Resources ETF (MGNR) offers compelling active management and broader thematic scope, yet the higher fee and newer track record introduce incremental considerations around consistency and expense drag in a competitive resources environment.
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| MGNR | XME | MGNR / XME | |
| Gain YTD | 23.555 | 9.814 | 240% |
| Net Assets | 1.3B | 4.7B | 28% |
| Total Expense Ratio | 0.75 | 0.35 | 214% |
| Turnover | 80.00 | 48.00 | 167% |
| Yield | 0.75 | 0.32 | 238% |
| Fund Existence | 3 years | 20 years | - |
| MGNR | XME | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 79% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 86% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 80% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 74% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| Advances ODDS (%) | 10 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 2 days ago 70% | 2 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 59% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, MGNR has been closely correlated with KGC. 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 KGC could also see price increases.
| Ticker / NAME | Correlation To MGNR | 1D Price Change % | ||
|---|---|---|---|---|
| MGNR | 100% | -0.22% | ||
| KGC - MGNR | 77% Closely correlated | +0.69% | ||
| PAAS - MGNR | 77% Closely correlated | -0.61% | ||
| CDE - MGNR | 77% Closely correlated | +1.18% | ||
| AU - MGNR | 74% Closely correlated | +0.52% | ||
| CX - MGNR | 51% Loosely correlated | +0.28% | ||
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A.I.dvisor indicates that over the last year, XME has been closely correlated with CDE. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then CDE could also see price increases.