These three exchange-traded funds provide investors with distinct approaches to gaining exposure to Asian equities outside Japan. AIA, FLAX, and GMF track passive indexes covering developed and emerging Asian markets, yet they differ in index construction, number of holdings, and market-cap emphasis. The comparison highlights variations in concentration, diversification depth, and expense ratios, helping investors evaluate which structure aligns best with objectives for regional equity allocation amid ongoing capital flows into Asia-Pacific economies.
The iShares Asia 50 ETF (AIA) seeks to track the S&P Asia 50 Capped Index, which comprises 50 of the largest Asian equities, with a focus on markets such as Taiwan, South Korea, Hong Kong, and Singapore. The fund typically holds around 50 to 56 securities. Top holdings emphasize leading technology and financial companies. Sector allocation is heavily weighted toward information technology (approximately 56-61%) and financials (approximately 17-19%), with smaller allocations to consumer discretionary and communication services. The expense ratio stands at 0.50%. As a passive, market-cap-weighted ETF, it rebalances periodically to maintain index alignment and offers a concentrated mega-cap tilt within the Asia ex-Japan theme.
The Franklin FTSE Asia ex Japan ETF (FLAX) tracks the FTSE Asia ex Japan Index, providing exposure to large- and mid-cap equities across developed and emerging Asian markets excluding Japan. The fund holds a significantly broader set of securities than more concentrated peers. Sector weights feature substantial information technology exposure alongside financials and other growth areas. The expense ratio is 0.19%, making it the most cost-efficient option among the three. This passive, market-cap-weighted structure emphasizes diversified representation across the region with periodic rebalancing to match the underlying index.
The SPDR S&P Emerging Asia Pacific ETF (GMF) seeks to track the S&P Asia Pacific Emerging BMI Index, delivering broad exposure to emerging Asian markets. The fund maintains over 1,200 holdings, resulting in extensive diversification across countries and companies. Sector allocation shows notable weights in information technology (approximately 36-40%), financials (approximately 16%), and consumer discretionary. The expense ratio is 0.49%. As a passive, market-cap-weighted ETF, it rebalances to reflect the broad emerging-market benchmark, offering wider geographic and company-level spread compared to more concentrated alternatives.
The Asia ex-Japan equity market continues to attract investor interest due to technological innovation, manufacturing strength, and expanding consumer bases in key economies. Macroeconomic drivers include regional trade dynamics, supply-chain shifts, and policy developments supporting digital infrastructure and financial services. Earnings trends among major technology and financial holdings remain sensitive to global demand cycles and regulatory environments. Geopolitical influences and capital allocation patterns toward emerging markets shape overall sector performance, with information technology and financials serving as primary growth engines across the region.
In recent market cycles, performance differences among the three ETFs have stemmed from variations in concentration and market-cap exposure. AIA’s narrower focus on leading mega-cap names has produced distinct volatility patterns relative to broader benchmarks during periods of sector rotation. FLAX’s inclusion of mid-cap securities and lower expense ratio have supported more stable tracking of the wider index. GMF’s expansive holdings across numerous emerging-market companies have contributed to smoother drawdown characteristics and different sensitivity to macro factors compared with the more concentrated AIA. These structural distinctions explain relative positioning without reliance on short-term price movements.
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.
Based on observable structural attributes, Tickeron’s AI would currently assign the highest probabilistic favorability to Franklin FTSE Asia ex Japan ETF (FLAX) due to its combination of broad diversification, lowest expense ratio, and balanced exposure profile that supports risk-adjusted positioning within the Asia ex-Japan theme.
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| AIA | FLAX | GMF | |
| Gain YTD | 44.576 | 25.694 | 11.364 |
| Net Assets | 5.17B | 51.8M | 438M |
| Total Expense Ratio | 0.50 | 0.19 | 0.49 |
| Turnover | 25.00 | 4.50 | 6.00 |
| Yield | 1.09 | 1.88 | 1.32 |
| Fund Existence | 19 years | 8 years | 19 years |
| AIA | FLAX | GMF | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 76% | 2 days ago 76% | 2 days ago 74% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 86% | 2 days ago 81% | 2 days ago 81% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 80% | 2 days ago 78% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 79% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 79% | 2 days ago 83% |
| Advances ODDS (%) | 2 days ago 87% | 2 days ago 82% | 5 days ago 84% |
| Declines ODDS (%) | 17 days ago 83% | 10 days ago 77% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 88% | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 84% | 2 days ago 86% |
A.I.dvisor indicates that over the last year, GMF has been closely correlated with TSM. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if GMF jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To GMF | 1D Price Change % | ||
|---|---|---|---|---|
| GMF | 100% | -0.40% | ||
| TSM - GMF | 78% Closely correlated | -1.32% | ||
| JD - GMF | 63% Loosely correlated | -1.14% | ||
| BIDU - GMF | 61% Loosely correlated | -3.55% | ||
| BILI - GMF | 59% Loosely correlated | -2.24% | ||
| BZUN - GMF | 58% Loosely correlated | -4.17% | ||
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