Both FNDF and SCHY are Schwab exchange-traded funds that give U.S. investors exposure to international equities, yet they serve distinct goals. FNDF provides a broad, fundamentals-driven slice of large companies across developed markets outside the United States, while SCHY targets a smaller, curated basket of high-dividend-paying stocks screened for quality and low volatility. They do not compete directly so much as offer alternative paths toward similar investor objectives: diversification beyond U.S. markets and, in SCHY's case, a stronger income emphasis. Comparing their structures, sector allocations, and relative positioning helps clarify which approach fits different market environments. I also checked this using Tickeron’s AI Screener to see how the two line up on key metrics.
FNDF is a passively managed ETF that seeks to track the RAFI Fundamental High Liquidity Developed ex-U.S. Large Index, which selects and weights companies based on fundamental measures such as adjusted sales, retained operating cash flow, and dividends plus buybacks rather than market capitalization. This rules-based, contrarian methodology gives the fund a distinct value tilt, periodically trimming names that have grown expensive and adding those that appear undervalued. The fund holds roughly 900 securities, with top positions including Samsung Electronics, SHEL, TTE, BHP, Glencore, HSBC, BP, Roche, TM, and SAN. Its largest sector exposures are financials, industrials, energy, technology, and basic materials. Geographically, Japan, the United Kingdom, South Korea, Canada, and France lead the portfolio. FNDF charges an expense ratio of 0.25% and has been in operation since August 2013.
SCHY is a passively managed ETF that tracks the Dow Jones International Dividend 100 Index, composed of high-dividend-yielding companies outside the United States. The underlying index applies strict screens, requiring at least 10 consecutive years of dividend payments and ranking candidates on free cash flow to total debt, return on equity, indicated dividend yield, and five-year dividend growth. It then removes higher-volatility names and caps individual stock, sector, and emerging-market weights. The fund holds about 110 stocks, with leading positions including DHL Group, Eni, BTI, GSK, Roche, TTE, Enel, Vinci, UL, and Wesfarmers. Its sector mix emphasizes consumer staples, communication services, financials, and industrials, with notably limited technology exposure. France, the United Kingdom, Australia, Italy, and Germany are its largest country weights. SCHY carries a 0.08% expense ratio, launched in April 2021, and rebalances quarterly with an annual reconstitution.
International equities have been shaped by a mix of macroeconomic and policy forces in recent market cycles. Currency movements, particularly the strength of the U.S. dollar, directly affect returns for U.S.-based investors holding overseas assets. Interest rate expectations across Europe, Japan, and the United Kingdom influence both dividend-paying sectors and interest-rate-sensitive financials, while commodity prices drive the energy and basic materials names that feature prominently in FNDF. Regulatory and trade developments, especially around European banking and Asian technology, add another layer of sector-specific risk. For dividend-focused strategies such as SCHY, the durability of payouts across staples, healthcare, and telecoms remains a central consideration amid uneven global growth. From what I see, these dynamics continue to favor different approaches depending on the cycle.
In recent weeks and months, FNDF has benefited from its heavier cyclical and value exposure, as financials, energy, and basic materials have responded to firmer commodity prices and higher interest-rate expectations in several developed markets. Its Japan weighting has also contributed as corporate governance reforms and shareholder-return initiatives continue to support that market. SCHY, by contrast, has offered steadier, income-driven returns, with its defensive consumer staples, healthcare, and communication services holdings providing ballast during risk-off periods, though its minimal technology allocation has meant less participation in growth-led rallies. I’m watching this closely with help from Tickeron’s AI Trend Prediction Engine for signals on sector momentum. Relative positioning reflects the funds' design. FNDF's ~900 holdings and fundamental weighting produce broad, low-concentration diversification with a cyclical bias, while SCHY's ~110 stocks create a more concentrated, lower-volatility portfolio with a higher dividend yield. Investors weighing the two are effectively choosing between broader value and cyclical exposure on one hand and a narrower, quality-screened income stream on the other.
Based on observable structural factors, the broader diversification, deeper liquidity, and cyclical value tilt of FNDF position it well amid firming commodity prices and resilient international financials. At the same time, SCHY's lower cost, disciplined quality screening, and higher yield make it a compelling choice for income-oriented investors prioritizing lower volatility. The preference is therefore conditional rather than absolute: for trend-consistent, broadly diversified exposure with sector momentum in energy and financials, FNDF scores higher, while SCHY remains the stronger candidate for defensive yield and reduced drawdown sensitivity.
In my research process, I frequently rely on Tickeron’s AI Screener to filter ETFs and compare holdings across sectors, volatility levels, and performance metrics. It streamlines the process of identifying patterns and evaluating how funds like these stack up against peers, helping me refine ideas without manual screening. This tool has become a regular part of how I assess international equity options.
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FNDF may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 32 of 35 cases where FNDF's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.
The Momentum Indicator moved above the 0 level on October 20, 2026. You may want to consider a long position or call options on FNDF as a result. In 70 of 81 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 86%.
The Moving Average Convergence Divergence (MACD) for FNDF just turned positive on October 16, 2026. Looking at past instances where FNDF's MACD turned positive, the stock continued to rise in 35 of 40 cases over the following month. The odds of a continued upward trend are 88%.
Following a +0.82% 3-day Advance, the price is estimated to grow further. Considering data from situations where FNDF advanced for three days, in 301 of 359 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 46 of 59 cases where FNDF's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 78%.
FNDF moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for FNDF crossed bearishly below the 50-day moving average on September 29, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 12 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 80%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FNDF declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 76%.
The Aroon Indicator for FNDF entered a downward trend on October 12, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category ForeignLargeValue