Investors increasingly evaluate specialized exchange-traded funds (ETFs) to gain exposure to the renewable energy transition. First Trust Global Wind Energy ETF (FAN) and iShares Global Clean Energy ETF (ICLN) both target clean energy themes yet pursue distinct strategies. FAN narrows its focus to wind energy companies globally, while ICLN encompasses a wider array of clean energy technologies. These ETFs do not compete directly but instead offer complementary or alternative approaches for investors pursuing similar sustainability-oriented goals within the broader energy transition sector.
First Trust Global Wind Energy ETF (FAN) seeks to track the performance of the ISE Global Wind Energy Index. The fund is passively managed and holds approximately 50-55 securities, primarily companies engaged in wind turbine manufacturing, wind farm development, and related equipment. Top holdings typically include firms such as Orsted AS, Vestas Wind Systems AS, and Nordex SE. Sector allocation centers heavily on utilities and industrials with wind-specific exposure. FAN carries a net expense ratio of 0.60%. As a thematic equity ETF, it employs rules-based rebalancing aligned with its underlying index methodology, emphasizing global wind energy participants while applying float-adjusted market capitalization weighting with concentration limits.
iShares Global Clean Energy ETF (ICLN) aims to replicate the S&P Global Clean Energy Index. This passively managed fund maintains around 106 holdings across global clean energy companies involved in solar, wind, hydrogen, and other renewable technologies. Representative top holdings often feature Bloom Energy Corp, First Solar Inc, and Enphase Energy Inc. Sector allocations span industrials, technology, and utilities with emphasis on clean energy producers and equipment suppliers. ICLN maintains a net expense ratio of 0.39%. The ETF utilizes index-based rebalancing and provides diversified exposure within the clean energy theme without leverage or active management overlays.
The global transition toward renewable energy continues to shape capital allocation across clean technology sectors. Policy support, including tax incentives and renewable portfolio standards in major markets, alongside corporate sustainability commitments, supports long-term demand for wind and broader clean energy infrastructure. Macroeconomic factors such as interest rate trajectories influence project financing costs for capital-intensive renewable developments. Supply chain dynamics, technological advancements in energy storage, and geopolitical considerations around energy security also affect sector momentum. Risks include regulatory changes, commodity price volatility affecting input costs, and potential shifts in government subsidies that could impact deployment rates across wind and solar subsectors.
In recent market cycles, both ETFs have exhibited sensitivity to interest rate expectations and sector rotation within growth-oriented themes. FAN’s concentrated wind focus has led to performance tied closely to turbine manufacturers and project developers, with volatility reflecting supply chain and permitting developments. ICLN’s broader clean energy mandate has allowed participation across multiple subsectors, potentially moderating volatility relative to pure-wind exposure during periods of uneven renewable adoption. Relative positioning highlights FAN’s higher thematic purity versus ICLN’s diversified approach, which may align differently with varying stages of the energy transition and earnings cycles of constituent companies.
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Based on observable structural factors including lower expense ratio, greater number of holdings, and broader diversification across clean energy technologies, Tickeron’s AI would currently assign a higher probability of favorability to iShares Global Clean Energy ETF (ICLN) for investors seeking cost-efficient thematic exposure with reduced concentration risk.
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| FAN | ICLN | FAN / ICLN | |
| Gain YTD | 23.742 | 32.003 | 74% |
| Net Assets | 310M | 3.14B | 10% |
| Total Expense Ratio | 0.60 | 0.39 | 154% |
| Turnover | 34.00 | 25.00 | 136% |
| Yield | 0.97 | 1.14 | 85% |
| Fund Existence | 18 years | 18 years | - |
| FAN | ICLN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 86% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| MACD ODDS (%) | N/A | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 88% |
| Advances ODDS (%) | 2 days ago 81% | 2 days ago 88% |
| Declines ODDS (%) | 7 days ago 82% | 7 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 85% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, FAN has been loosely correlated with GEV. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if FAN jumps, then GEV could also see price increases.
A.I.dvisor indicates that over the last year, ICLN has been closely correlated with NXT. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICLN jumps, then NXT could also see price increases.
| Ticker / NAME | Correlation To ICLN | 1D Price Change % | ||
|---|---|---|---|---|
| ICLN | 100% | +2.51% | ||
| NXT - ICLN | 72% Closely correlated | +2.52% | ||
| BE - ICLN | 69% Closely correlated | +5.15% | ||
| FCEL - ICLN | 68% Closely correlated | +1.46% | ||
| FSLR - ICLN | 65% Loosely correlated | +2.10% | ||
| SEDG - ICLN | 59% Loosely correlated | -0.86% | ||
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