Investors seeking international equity exposure outside the United States often evaluate quality-focused strategies to navigate global market dynamics. The WisdomTree Global ex-US Quality Growth Fund (DNL) and the Invesco S&P International Developed Quality ETF (IDHQ) represent two distinct approaches within the quality segment. While they do not compete directly due to geographic scope differences, both target similar investor goals of accessing high-quality companies with attractive growth or stability characteristics in non-U.S. markets. This comparison highlights their structural variances to assist in portfolio positioning decisions.
The WisdomTree Global ex-US Quality Growth Fund (DNL) is a passively managed exchange-traded fund that seeks to track the WisdomTree Global ex-U.S. Quality Dividend Growth Index, a modified market-capitalization-weighted index of large- and mid-capitalization companies selected for quality and growth attributes. The fund holds approximately 200 to 300 securities spanning developed and emerging markets ex-U.S. Top holdings often include Taiwan Semiconductor Manufacturing Co Ltd, ASML Holding NV, and other leaders in technology and consumer sectors. Sector allocations typically emphasize information technology (around 35%), consumer discretionary (around 18%), industrials (around 16%), and healthcare (around 10%). It carries an expense ratio of 0.42% and employs a rules-based methodology with periodic rebalancing. Distinguishing features include its inclusion of emerging markets and focus on earnings growth alongside quality metrics.
The Invesco S&P International Developed Quality ETF (IDHQ) is a passively managed exchange-traded fund designed to track the S&P Quality Developed ex-U.S. LargeMidCap Index. It provides exposure to approximately 200 high-quality large- and mid-cap companies in developed markets ex-U.S., selected based on profitability, earnings growth, and financial leverage criteria. Top holdings commonly feature ASML Holding NV, Roche Holding AG, and other established names. Sector allocations are more balanced, with significant weights in industrials (around 21%), technology (around 20%), healthcare (around 18%), and financial services (around 14%). The fund maintains an expense ratio of 0.29% and follows a transparent, rules-based index methodology with regular rebalancing. Its developed-markets-only mandate supports a focus on established economies.
Both ETFs operate within the international equity quality factor space, influenced by global economic cycles, interest rate environments, and sector rotations. Key catalysts include corporate earnings trends among multinational firms, shifts in trade policies, and capital flows into developed versus emerging markets. Macroeconomic drivers such as inflation moderation and central bank policies affect valuations across regions. Risks encompass geopolitical tensions, currency fluctuations, and regulatory changes impacting cross-border investments. The quality theme appeals to investors seeking defensive characteristics amid uncertain global conditions, with ongoing interest in sustainable earnings and balance sheet strength.
In recent weeks and months, both ETFs have reflected broader international equity movements tied to earnings seasons and macroeconomic data releases. DNL's emerging market component can amplify exposure to growth-oriented rotations in Asia and other regions, while IDHQ's developed-market emphasis often provides more stable responses during periods of global risk aversion. Relative positioning shows IDHQ benefiting from lower costs and diversified sector exposure, potentially supporting consistency across market cycles. Volatility differences arise from geographic breadth, with DNL exhibiting sensitivity to emerging-market developments and IDHQ aligning more closely with European and Japanese equity trends.
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Based on observable factors including lower expense ratio, balanced sector diversification, and developed-market focus that may reduce certain geographic risks, Tickeron’s AI would currently assign a higher probability of favor to the Invesco S&P International Developed Quality ETF (IDHQ) for investors prioritizing cost efficiency and structural stability within the quality international equity space. This assessment draws from comparative cost structures and diversification profiles without constituting investment advice.
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| DNL | IDHQ | DNL / IDHQ | |
| Gain YTD | 9.880 | 23.963 | 41% |
| Net Assets | 483M | 920M | 53% |
| Total Expense Ratio | 0.42 | 0.29 | 145% |
| Turnover | 76.00 | 41.00 | 185% |
| Yield | 1.29 | 2.01 | 64% |
| Fund Existence | 20 years | 19 years | - |
| DNL | IDHQ | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 73% |
| Stochastic ODDS (%) | 1 day ago 77% | 1 day ago 77% |
| Momentum ODDS (%) | 1 day ago 79% | 1 day ago 86% |
| MACD ODDS (%) | 1 day ago 82% | 1 day ago 80% |
| TrendWeek ODDS (%) | 1 day ago 79% | 1 day ago 80% |
| TrendMonth ODDS (%) | 1 day ago 76% | 1 day ago 81% |
| Advances ODDS (%) | 5 days ago 83% | 9 days ago 82% |
| Declines ODDS (%) | 7 days ago 79% | 1 day ago 81% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 1 day ago 84% | 1 day ago 81% |
A.I.dvisor indicates that over the last year, DNL has been closely correlated with STM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if DNL jumps, then STM could also see price increases.
A.I.dvisor indicates that over the last year, IDHQ has been closely correlated with STM. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if IDHQ jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To IDHQ | 1D Price Change % | ||
|---|---|---|---|---|
| IDHQ | 100% | -1.06% | ||
| STM - IDHQ | 70% Closely correlated | -4.18% | ||
| BHP - IDHQ | 65% Loosely correlated | -0.38% | ||
| RIO - IDHQ | 62% Loosely correlated | -0.76% | ||
| MT - IDHQ | 56% Loosely correlated | -0.24% | ||
| CP - IDHQ | 55% Loosely correlated | +1.36% | ||
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