Investors looking for developed-market equity exposure outside the United States often find themselves choosing between value-tilted funds and broader, mechanically diversified alternatives. DFIV and FNDF sit at the center of that discussion. Both draw from developed markets ex-U.S., both emphasize large-capitalization companies, and both carry a value-oriented flavor—yet they reach their portfolios through very different methods. DFIV relies on Dimensional's systematic, active security selection, while FNDF follows a rules-based fundamental weighting methodology. Comparing the two clarifies whether an investor should prioritize a deeper value and profitability tilt or a broader, more diversified international sleeve in the current market environment. I also checked sector overlaps using Tickeron’s AI Screener to see how the two line up against peers.
DFIV is an actively managed exchange-traded fund that invests in large-capitalization value stocks across developed markets outside the U.S., while applying tax-management techniques. Launched as an ETF in September 2021 (after converting from a mutual fund), it uses Dimensional's systematic approach, emphasizing companies with lower relative prices and higher profitability, weighted primarily by market capitalization with liquidity and momentum considerations.
The fund holds roughly 600 securities, with financial services (approximately 32–35%), energy (around 14%), basic materials (about 11%), consumer cyclical (roughly 11%), and industrials (near 10%) as its largest sector exposures. Top holdings include SHEL, TTE, Banco Santander, TM, HSBC, BASF, TD, and Sumitomo Mitsui Financial Group. Japan is the largest country allocation at roughly 22%, followed by the United Kingdom, Canada, Germany, and France. The expense ratio is 0.27%.
FNDF is a passively managed ETF that seeks to track the Russell RAFI Developed ex-U.S. Large Company Index (also described as the RAFI Fundamental High Liquidity Developed ex U.S. Large Index). Rather than weighting companies by market capitalization, the index ranks and weights them using fundamental measures such as sales, cash flow, dividends, and buybacks. This "smart beta" approach creates a systematic value and size tilt without active stock selection.
The fund holds roughly 900 securities, making it notably more diversified than DFIV. Its largest sector exposures are financial services (about 19%), industrials (near 16%), energy (around 11–12%), technology (roughly 11%), consumer cyclical (about 10%), and basic materials (about 10%). Top holdings include Samsung Electronics, SHEL, TTE, HSBC, BP, BHP, Glencore, Roche, and TM. Country exposure is led by Japan (about 23%), followed by the United Kingdom, South Korea (roughly 10%), Canada, Germany, and France. The expense ratio is 0.25%.
Both funds are shaped by the same macro forces. International developed-market equities remain comparatively inexpensive versus U.S. large caps, supporting continued interest in value strategies. Financials—a dominant weight in both portfolios—have benefited from higher interest-rate environments that support net interest margins and lending profitability, though rate-cut expectations can temper that momentum. Energy and basic materials allocations tie both funds to commodity cycles, capital-discipline trends among producers, and geopolitical supply considerations. Meanwhile, FNDF's technology and South Korea exposure (including semiconductor manufacturers) adds sensitivity to the artificial intelligence and memory-chip cycle, a theme largely absent from DFIV's portfolio. Currency movements between the U.S. dollar, yen, and euro also meaningfully influence returns for both funds.
In recent market cycles, DFIV's deeper value tilt and heavier financials and energy weighting have supported outperformance during value-led rotations, while its profitability screens have helped it avoid many classic value traps. FNDF, by contrast, has delivered steadier, more diversified relative positioning—its broader holdings base, higher technology weight, and South Korea exposure provide ballast when energy and financials lag. In volatility terms, DFIV tends to exhibit more concentrated sector risk given its roughly one-third financials allocation, whereas FNDF's diversification moderates single-sector drawdowns. Both funds have benefited from a broader international value resurgence, but their relative performance diverges with rotation between cyclical sectors and growth-oriented technology names. From what I see, the trend characteristics favor the more concentrated approach in the current setup.
When analyzing funds like these, I regularly use Tickeron’s AI Screener to quickly filter holdings by sector, fundamentals, and recent trends. It gives me a structured way to compare exposures and confirm whether the value tilt in one fund aligns with prevailing momentum better than the broader diversification in the other. This step helps refine my view without replacing the core data review.
Based on observable structural and trend factors, Tickeron's AI would likely favor DFIV over FNDF in the current environment. DFIV combines a systematic value tilt with explicit profitability screens, which has historically translated into stronger risk-adjusted returns during value-driven market cycles. Its heavier weighting to financials and energy aligns with prevailing sector momentum, while its lower-cost active approach (0.27% versus FNDF's 0.25%) remains competitively priced despite the marginal difference. FNDF's greater diversification and technology exposure are genuine strengths, but DFIV's concentrated, higher-conviction value positioning and more consistent trend profile give it the edge in this comparison. This assessment reflects probabilistic analysis, not a guarantee of future performance.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
FNDF saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on November 06, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 41 instances where the indicator turned negative. In 34 of the 41 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 83%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 43 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 73%.
The Momentum Indicator moved below the 0 level on November 05, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on FNDF as a result. In 61 of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 76%.
FNDF moved below its 50-day moving average on November 05, 2026 date and that indicates a change from an upward trend to a downward trend.
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.
Following a +0.50% 3-day Advance, the price is estimated to grow further. Considering data from situations where FNDF advanced for three days, in 301 of 358 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
FNDF may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category ForeignLargeValue