Investors seeking targeted thematic exposure often evaluate specialized exchange-traded funds (ETFs) that focus on specific industries or megatrends. The U.S. Global Jets ETF (JETS) and Invesco WilderHill Clean Energy ETF (PBW) do not compete directly within the same sector. Instead, they represent alternative strategies for investors pursuing growth in transportation and sustainable energy, respectively. Comparing these funds highlights differences in index methodology, holdings concentration, and sensitivity to distinct economic drivers such as travel demand and clean technology adoption.
The U.S. Global Jets ETF (JETS) seeks to track the performance of the U.S. Global Jets Index, which measures the performance of companies involved in the airline industry, including operators, manufacturers, and related service providers. The fund employs a passive strategy and holds approximately 50-56 securities. Top holdings typically include Delta Air Lines (DAL), American Airlines Group (AAL), United Airlines Holdings (UAL), and Southwest Airlines (LUV), which together can account for over 60% of assets. Sector allocation is heavily concentrated in industrials, with smaller exposure to consumer cyclical companies. The expense ratio is 0.60%. The index is rebalanced periodically to maintain alignment with the underlying airline theme, emphasizing global air travel participants while maintaining U.S. listing requirements.
The Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index, which selects companies engaged in clean energy production, energy efficiency, and related technologies using a modified equal-weight methodology. The fund follows a passive approach and typically holds 65-69 securities. Holdings span companies involved in renewable energy harvesting, energy storage, and power delivery, with top positions often including firms such as Sigma Lithium Corporation and Bloom Energy Corporation. Sector allocations include industrials, materials, information technology, and consumer discretionary. The expense ratio is 0.64%. The index undergoes quarterly rebalancing and reconstitution to reflect evolving clean energy innovations.
The airline industry, represented by JETS, remains sensitive to fuel costs, regulatory changes in aviation, and shifts in consumer travel patterns driven by economic conditions. Capital flows into the sector often respond to recovery in global mobility and fleet modernization. The clean energy space, captured by PBW, benefits from policy incentives supporting decarbonization, technological advancements in renewables, and corporate sustainability mandates. Both themes face macroeconomic influences including interest rate environments, commodity price fluctuations, and geopolitical developments affecting supply chains. Regulatory support for emissions reductions and infrastructure spending continues to shape capital allocation across these areas.
In recent market cycles, JETS has exhibited sensitivity to airline earnings reports and fuel price movements, with positioning influenced by post-pandemic travel rebounds and capacity constraints. PBW has responded to clean energy policy developments and technology deployment rates, showing differentiated behavior during periods of sector rotation toward or away from renewables. Relative volatility tends to be higher for JETS due to its concentrated airline focus, while PBW's modified equal-weight approach and broader thematic holdings provide a measure of diversification within the energy transition. Both funds' performance dynamics reflect their distinct exposure profiles rather than broad market beta alone.
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. Explore the AI Screener to discover additional thematic opportunities aligned with your investment objectives.
Based on structural characteristics including expense efficiency, holdings diversification, and alignment with observable thematic momentum, Tickeron’s AI would currently assign a modest probabilistic preference to the Invesco WilderHill Clean Energy ETF (PBW). Its broader holdings base and quarterly rebalancing methodology support more consistent exposure to the expanding clean energy theme, while the U.S. Global Jets ETF (JETS) offers higher concentration that may suit investors with specific airline sector views. Selection depends on individual risk tolerance and portfolio objectives.
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.
| JETS | PBW | JETS / PBW | |
| Gain YTD | -0.855 | 48.644 | -2% |
| Net Assets | 860M | 637M | 135% |
| Total Expense Ratio | 0.60 | 0.64 | 94% |
| Turnover | 38.00 | 62.00 | 61% |
| Yield | 0.79 | 0.60 | 132% |
| Fund Existence | 11 years | 21 years | - |
| JETS | PBW | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 86% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 88% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| Advances ODDS (%) | 6 days ago 87% | 2 days ago 90% |
| Declines ODDS (%) | 2 days ago 90% | 16 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, JETS has been closely correlated with DAL. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if JETS jumps, then DAL could also see price increases.
| Ticker / NAME | Correlation To JETS | 1D Price Change % | ||
|---|---|---|---|---|
| JETS | 100% | -2.35% | ||
| DAL - JETS | 90% Closely correlated | -1.55% | ||
| AAL - JETS | 89% Closely correlated | -2.58% | ||
| UAL - JETS | 88% Closely correlated | -3.38% | ||
| ALGT - JETS | 85% Closely correlated | -5.33% | ||
| LUV - JETS | 82% Closely correlated | -3.47% | ||
More | ||||
A.I.dvisor indicates that over the last year, PBW has been closely correlated with ENVX. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if PBW jumps, then ENVX could also see price increases.
| Ticker / NAME | Correlation To PBW | 1D Price Change % | ||
|---|---|---|---|---|
| PBW | 100% | -3.49% | ||
| ENVX - PBW | 67% Closely correlated | -4.70% | ||
| QS - PBW | 65% Loosely correlated | -4.78% | ||
| SLDP - PBW | 64% Loosely correlated | -8.68% | ||
| ACHR - PBW | 64% Loosely correlated | -3.12% | ||
| BLDP - PBW | 63% Loosely correlated | -5.02% | ||
More | ||||