Investors seeking U.S. large-cap value exposure often compare IWD and VLUE because both target undervalued equities yet employ distinct index methodologies. These ETFs do not compete directly; instead, they represent alternative strategies within the value segment. IWD emphasizes broad market-cap-weighted value characteristics, while VLUE applies quantitative value-factor screens. The comparison helps investors align portfolio construction with preferences for diversification versus factor-driven concentration in the current macroeconomic setting of moderating inflation and evolving monetary policy.
The iShares Russell 1000 Value ETF (IWD) seeks to track the Russell 1000 Value Index, which measures the performance of large- and mid-capitalization U.S. equities exhibiting value characteristics. The fund holds approximately 860–870 securities and maintains a market-cap-weighted structure. Sector allocations typically feature financials near 19%, information technology around 15–18%, industrials near 13%, and health care near 11%, with additional exposure to communication services, consumer staples, and energy. The expense ratio stands at 0.18%. As a passive, open-end fund, IWD rebalances in line with its underlying index to maintain value-factor representation without active stock selection. Its broad holdings profile supports diversified exposure to established companies that may trade at lower valuations relative to growth peers.
The iShares MSCI USA Value Factor ETF (VLUE) tracks the MSCI USA Enhanced Value Index, selecting large- and mid-cap U.S. stocks based on value metrics including price-to-book, price-to-earnings, and price-to-cash flow ratios while aiming for sector neutrality. The fund typically holds around 147 securities, resulting in a more concentrated portfolio. Sector allocations often show a heavy information technology weighting near 45–49%, followed by financials near 9–10%, consumer discretionary near 8%, and health care near 8%. The expense ratio is 0.15%. VLUE operates as a passive ETF with quarterly rebalancing to align with the enhanced-value methodology, distinguishing it through its systematic factor emphasis rather than traditional value indexing.
The U.S. large-cap value segment operates within a broader equity market shaped by interest-rate cycles, corporate earnings trends, and sector rotation dynamics. Value strategies generally benefit from environments featuring higher discount rates that compress growth multiples and favor companies with strong current cash flows. Regulatory developments around corporate taxation and capital requirements influence financials and industrials, while technological innovation continues to reshape information technology valuations. Macroeconomic drivers such as inflation moderation and labor-market conditions affect capital allocation across sectors. Both ETFs remain exposed to these forces, with IWD’s broader diversification potentially cushioning sector-specific volatility and VLUE’s factor tilt amplifying sensitivity to value-resilient technology names.
Over recent market cycles, IWD has delivered steady exposure aligned with traditional value benchmarks, reflecting its wide holdings base and balanced sector weights. In contrast, VLUE has shown distinct behavior tied to its enhanced-value construction and elevated technology allocation, which can produce greater sensitivity to earnings momentum within that sector. Relative positioning highlights IWD’s emphasis on diversification across financials, industrials, and health care, while VLUE concentrates risk in fewer names selected for stronger value signals. Volatility differences arise from these structural choices, with the more concentrated VLUE potentially exhibiting sharper moves during sector rotations or shifts in growth-versus-value sentiment.
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Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to VLUE for investors prioritizing lower expense ratios and a targeted value-factor approach within the technology-heavy segment. However, IWD retains advantages in broader diversification and established index methodology, making either ETF suitable depending on an investor’s tolerance for concentration and preference for traditional versus enhanced value exposure. Selection should reflect individual portfolio objectives rather than short-term signals.
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| IWD | VLUE | IWD / VLUE | |
| Gain YTD | 12.827 | 40.973 | 31% |
| Net Assets | 76.3B | 14.5B | 526% |
| Total Expense Ratio | 0.18 | 0.15 | 120% |
| Turnover | 15.00 | 30.00 | 50% |
| Yield | 1.50 | 1.43 | 105% |
| Fund Existence | 26 years | 13 years | - |
| IWD | VLUE | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 70% | 2 days ago 76% |
| Stochastic ODDS (%) | 2 days ago 71% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 86% | N/A |
| MACD ODDS (%) | 2 days ago 71% | 2 days ago 81% |
| TrendWeek ODDS (%) | 2 days ago 75% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 82% |
| Advances ODDS (%) | 12 days ago 82% | 5 days ago 85% |
| Declines ODDS (%) | 6 days ago 76% | 2 days ago 79% |
| BollingerBands ODDS (%) | 2 days ago 78% | 2 days ago 77% |
| Aroon ODDS (%) | 2 days ago 76% | 2 days ago 81% |
A.I.dvisor indicates that over the last year, IWD has been closely correlated with BAC. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if IWD jumps, then BAC could also see price increases.
A.I.dvisor indicates that over the last year, VLUE has been closely correlated with IVZ. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if VLUE jumps, then IVZ could also see price increases.
| Ticker / NAME | Correlation To VLUE | 1D Price Change % | ||
|---|---|---|---|---|
| VLUE | 100% | -4.16% | ||
| IVZ - VLUE | 70% Closely correlated | -2.91% | ||
| MU - VLUE | 70% Closely correlated | -13.25% | ||
| LNC - VLUE | 70% Closely correlated | +2.06% | ||
| PFG - VLUE | 68% Closely correlated | +1.65% | ||
| MS - VLUE | 68% Closely correlated | -2.90% | ||
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