Investors seeking thematic equity exposure often evaluate specialized ETFs that capture emerging trends in consumer behavior or transportation infrastructure. The Amplify Digital Payments ETF (IPAY) and the U.S. Global Jets ETF (JETS) represent two such vehicles, each aligned with distinct secular themes rather than direct competitors. IPAY focuses on the shift toward electronic transactions, while JETS capitalizes on global air travel recovery and aviation ecosystem dynamics. Comparing these ETFs helps clarify trade-offs in sector exposure, cost efficiency, and portfolio diversification for investors evaluating fintech versus transportation opportunities in the current market environment.
The Amplify Digital Payments ETF (IPAY) seeks to track the Nasdaq CTA Global Digital Payments Index before fees and expenses. The fund holds approximately 41 securities and maintains an expense ratio of 0.75%. Its top holdings typically include major card networks and payment processors such as Visa Inc., Block Inc., Affirm Holdings Inc., Mastercard Inc., and American Express Co. Sector allocations concentrate in technology (approximately 54%) and financial services (approximately 42%), with smaller exposure to industrials. As a passive, market-capitalization-weighted ETF, IPAY rebalances according to index rules and provides pure-play access to companies deriving significant revenue from mobile payments, card networks, and related infrastructure. The structure emphasizes global digital transaction growth without leverage or active management overlays.
The U.S. Global Jets ETF (JETS) tracks the U.S. Global Jets Index, which employs a smart-beta methodology emphasizing domestic passenger airlines alongside aircraft manufacturers and airport operators. The fund holds approximately 50 securities and carries an expense ratio of 0.60%. Top holdings are dominated by major U.S. carriers including Delta Air Lines Inc., American Airlines Group Inc., United Airlines Holdings Inc., and Southwest Airlines Co. Sector exposure centers overwhelmingly on industrials (approximately 90%), with modest allocations to consumer cyclicals. JETS applies quarterly rebalancing and reconstitution, incorporating screens for market capitalization, liquidity, and fundamental factors such as cash-flow return on invested capital. This rules-based approach delivers focused aviation industry exposure without active stock selection.
Digital payments and commercial aviation operate in separate macroeconomic environments. The payments sector benefits from ongoing digitization of consumer and business transactions, supported by regulatory tailwinds favoring electronic commerce and contactless technology. In contrast, the airline industry remains sensitive to fuel costs, labor expenses, capacity utilization, and cyclical travel demand influenced by economic growth and geopolitical stability. Capital flows into both areas reflect broader investor interest in thematic growth stories, though aviation faces additional regulatory scrutiny around emissions and infrastructure. These divergent drivers create complementary yet non-overlapping risk profiles for portfolio construction.
Over recent market cycles, IPAY has demonstrated sensitivity to consumer spending trends and technology adoption rates, with volatility influenced by shifts in fintech valuations. JETS has exhibited greater responsiveness to airline earnings cycles, fuel price movements, and post-pandemic travel recovery dynamics. The funds’ relative positioning highlights differences in beta to broader equity markets and sector rotation patterns, with IPAY often aligning more closely with growth-oriented financial technology themes and JETS tracking transportation and cyclical industrials more directly. Diversification benefits arise from their limited overlap in underlying drivers.
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Based on observable structural characteristics, Tickeron’s AI would currently assign a modest probabilistic preference to JETS. The lower expense ratio, comparable number of holdings, and rules-based index construction that incorporates fundamental scoring provide a slight edge in cost efficiency and risk-adjusted positioning within its niche, though both ETFs remain suitable depending on an investor’s thematic outlook and diversification needs.
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| IPAY | JETS | IPAY / JETS | |
| Gain YTD | -16.119 | 11.079 | -145% |
| Net Assets | 150M | 891M | 17% |
| Total Expense Ratio | 0.75 | 0.60 | 125% |
| Turnover | 29.00 | 38.00 | 76% |
| Yield | 0.88 | 0.79 | 111% |
| Fund Existence | 11 years | 11 years | - |
| IPAY | JETS | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 87% | 1 day ago 83% |
| Stochastic ODDS (%) | 1 day ago 80% | 1 day ago 79% |
| Momentum ODDS (%) | 1 day ago 79% | 1 day ago 87% |
| MACD ODDS (%) | 1 day ago 88% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 87% | 1 day ago 89% |
| TrendMonth ODDS (%) | 1 day ago 86% | 1 day ago 90% |
| Advances ODDS (%) | 9 days ago 78% | 9 days ago 87% |
| Declines ODDS (%) | 1 day ago 86% | 17 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 88% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 89% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, IPAY has been closely correlated with GPN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPAY jumps, then GPN could also see price increases.
| Ticker / NAME | Correlation To IPAY | 1D Price Change % | ||
|---|---|---|---|---|
| IPAY | 100% | -0.55% | ||
| GPN - IPAY | 72% Closely correlated | -1.24% | ||
| XYZ - IPAY | 71% Closely correlated | -0.96% | ||
| TOST - IPAY | 69% Closely correlated | +1.03% | ||
| AFRM - IPAY | 69% Closely correlated | -0.51% | ||
| PYPL - IPAY | 66% Closely correlated | -1.51% | ||
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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% | +0.65% | ||
| DAL - JETS | 90% Closely correlated | +0.93% | ||
| AAL - JETS | 89% Closely correlated | +0.37% | ||
| UAL - JETS | 89% Closely correlated | +2.42% | ||
| ALGT - JETS | 85% Closely correlated | +1.27% | ||
| LUV - JETS | 83% Closely correlated | +1.73% | ||
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