Investors evaluating thematic exchange-traded funds (ETFs) often compare products that address distinct yet complementary aspects of resource demand. The iShares Copper and Metals Mining ETF (ICOP) and the Invesco Water Resources ETF (PHO) do not compete directly but represent alternative strategies targeting natural resource themes. ICOP focuses on copper and metals mining equities globally, while PHO emphasizes U.S. companies supporting water conservation and purification. This comparison highlights structural differences, exposure profiles, and positioning within the current market environment of evolving commodity trends and infrastructure priorities.
The iShares Copper and Metals Mining ETF (ICOP) is a passively managed ETF launched in 2023 that seeks to track the STOXX Global Copper and Metals Mining Index (Net). It holds approximately 45 equities primarily engaged in copper and metal ore mining, with nearly 100% allocation to the materials sector. Top holdings typically include BHP Group Ltd, Anglo American PLC, Grupo Mexico B, Freeport-McMoRan Inc, and Teck Resources, reflecting a market-capitalization-weighted approach with geographic diversification across Canada, the United Kingdom, Australia, and the United States. The fund maintains an expense ratio of 0.47% and follows a physical replication strategy without leverage or inverse features. Its distinguishing characteristic is concentrated thematic exposure to copper demand drivers through a rules-based index methodology.
The Invesco Water Resources ETF (PHO) is a passively managed ETF launched in 2005 that tracks the NASDAQ OMX U.S. Water Index. It provides exposure to U.S. exchange-listed companies that develop products for water conservation and purification, with a portfolio of roughly 30-40 holdings. Sector allocations emphasize industrials, followed by utilities and information technology. Representative holdings often feature companies such as Waters Corp, Ferguson Enterprises Inc, and Ecolab Inc. The ETF applies a liquidity-weighted methodology with annual reconstitution and quarterly rebalancing, maintaining an expense ratio of 0.59%. As a non-diversified fund, it delivers targeted U.S.-focused thematic exposure without derivatives or leveraged structures.
Both ETFs operate within the broader natural resources and infrastructure themes. Copper mining exposure in ICOP aligns with global electrification, renewable energy deployment, and supply chain considerations. Water resources exposure in PHO connects to infrastructure modernization, regulatory standards for water quality, and population-driven demand. Macroeconomic factors such as interest rate environments, industrial production trends, and sustainability initiatives influence capital flows into these sectors. Regulatory developments around mining permits and water management standards represent ongoing considerations, while commodity price volatility and capital expenditure cycles shape the environment for both strategies.
In recent market cycles, ICOP has demonstrated sensitivity to copper price movements and mining sector rotations driven by global industrial demand. PHO has shown steadier behavior linked to steady infrastructure spending and water utility earnings patterns. Relative positioning reflects differing volatility profiles, with ICOP exhibiting higher commodity beta and PHO displaying characteristics more aligned with defensive industrials. Earnings cycles of top holdings, interest rate expectations, and shifts in capital allocation between metals and water infrastructure have influenced performance differentials over recent weeks and months.
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 ICOP and PHO may find the platform useful for refining their research process.
Based on observable factors including lower expense ratio, diversified global holdings, and alignment with copper demand trends, Tickeron’s AI would currently assign a probabilistic preference to the iShares Copper and Metals Mining ETF (ICOP) over the Invesco Water Resources ETF (PHO). Structural cost efficiency and thematic momentum in metals mining contribute to this assessment, though individual investor objectives and risk tolerance should guide final decisions.
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| ICOP | PHO | ICOP / PHO | |
| Gain YTD | 29.989 | 0.542 | 5,530% |
| Net Assets | 499M | 1.99B | 25% |
| Total Expense Ratio | 0.47 | 0.59 | 80% |
| Turnover | 24.00 | 34.00 | 71% |
| Yield | 1.54 | 0.57 | 271% |
| Fund Existence | 3 years | 21 years | - |
| ICOP | PHO | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 83% | 4 days ago 76% |
| Stochastic ODDS (%) | 4 days ago 81% | 4 days ago 85% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 78% |
| MACD ODDS (%) | 4 days ago 89% | 4 days ago 67% |
| TrendWeek ODDS (%) | 4 days ago 81% | 4 days ago 81% |
| TrendMonth ODDS (%) | 4 days ago 87% | 4 days ago 78% |
| Advances ODDS (%) | 5 days ago 90% | 5 days ago 82% |
| Declines ODDS (%) | 7 days ago 84% | 7 days ago 81% |
| BollingerBands ODDS (%) | 4 days ago 81% | 4 days ago 88% |
| Aroon ODDS (%) | 4 days ago 88% | N/A |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| PSYGX | 97.09 | 0.59 | +0.61% |
| Putnam Small Cap Growth Y | |||
| CLGRX | 83.48 | -0.04 | -0.05% |
| Calvert US Large Cap Growth Rspnb Idx R6 | |||
| SGZFX | 68.74 | -0.06 | -0.09% |
| Saturna Growth Z | |||
| COFYX | 45.15 | -0.16 | -0.35% |
| Columbia Contrarian Core Inst3 | |||
| PHRIX | 20.41 | -0.13 | -0.63% |
| Virtus Duff & Phelps Real Estate Secs I | |||
A.I.dvisor indicates that over the last year, ICOP has been closely correlated with RIO. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOP jumps, then RIO could also see price increases.
| Ticker / NAME | Correlation To ICOP | 1D Price Change % | ||
|---|---|---|---|---|
| ICOP | 100% | -0.98% | ||
| RIO - ICOP | 85% Closely correlated | +0.42% | ||
| MTAL - ICOP | 61% Loosely correlated | N/A | ||
| AAL - ICOP | 29% Poorly correlated | +1.23% | ||
| TKO - ICOP | 15% Poorly correlated | -1.80% | ||
| BHP - ICOP | -1% Poorly correlated | -0.34% | ||
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A.I.dvisor indicates that over the last year, PHO has been closely correlated with XYL. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if PHO jumps, then XYL could also see price increases.
| Ticker / NAME | Correlation To PHO | 1D Price Change % | ||
|---|---|---|---|---|
| PHO | 100% | -0.41% | ||
| XYL - PHO | 70% Closely correlated | -2.04% | ||
| MWA - PHO | 69% Closely correlated | +0.21% | ||
| FERG - PHO | 66% Loosely correlated | +2.32% | ||
| FELE - PHO | 63% Loosely correlated | +0.49% | ||
| GRC - PHO | 54% Loosely correlated | +0.32% | ||
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