Vanguard Multifactor ETF Performance
| VFMF ETF | USD 166.42 0.28 0.17% |
Risk-Adjusted Performance
Moderate
Weak | Strong |
Compared with the broader market, risk-adjusted returns on Vanguard Multifactor rank lower than 8% of all global equities and portfolios over the last 90 days. In practice, the ranking separates absolute gains from efficient gains. Vanguard Multifactor is delivering weak return efficiency relative to its risk profile. Latest price dislocation suggests continued near-term downside pressure for stockholders. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 15,711 in Vanguard Multifactor on January 27, 2026 and sold it today you would have earned a total of $ 931.30 from holding Vanguard Multifactor or generated 5.93% return on investment over 90 days. Vanguard Multifactor is currently generating a 0.0956% daily expected return and carries 0.9183% risk (volatility on return distribution) over a 90-day horizon. In relative terms, Vanguard exhibits above-average volatility, exceeding roughly 92% of comparable etfs, and VFMF has trailed 99% of traded instruments in return over the 90-day horizon. Expected Return |
| Risk |
Historical Prices of Vanguard Multifactor
Below is the normalized historical share price chart for Vanguard Multifactor extending back to February 15, 2018. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Vanguard Multifactor stands at 166.42, as last reported on the 27th of April, with the highest price reaching 166.66 and the lowest price hitting 165.79 during the day.Macro event markers
Target Price Odds to finish over Current Price
Investors have long observed that Vanguard ETF price tends to fluctuate around a central value over time. Many studies suggest that some traded ETFs are consistently mispriced before supply and demand correct the spread.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 166.42 | 90 days | 166.42 | under 4 |
A normal distribution analysis suggests that the odds of Vanguard Multifactor moving above the current price in 90 days from now are under 4. Recent return data has shown a distribution that skews above the current level over this window. (The chart shows where the base-case price path for Vanguard ETF has been concentrating over 90 days). Wider tails indicate a broader spread of plausible outcomes for Vanguard ETF.
Vanguard Multifactor Price Density |
| Price |
Predictive Modules for Vanguard Multifactor
The ETF market offers a wide variety of forecasting techniques applicable to instruments like Vanguard Multifactor. While no single technique guarantees accuracy, combining multiple methods often improves prediction reliability.Mean reversion in Vanguard Multifactor's price occurs when temporary dislocations correct back toward its historical intrinsic value estimate. This tendency of Vanguard Multifactor's price to converge to an average value over time is called mean reversion.
Primary Risk Indicators
The ETF market has gone through extended turbulence over the past two decades, and Vanguard Multifactor has not been immune. Sharp price drops and substantial rallies have shaped Vanguard Multifactor's value during this period.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | 0.86 | |
σ | Overall volatility | 4.05 | |
Ir | Information ratio | 0.09 |
Vanguard Multifactor Fundamentals Growth
Vanguard Multifactor's fundamentals serve as the primary lens through which investors evaluate Vanguard ETF. Key drivers such as revenue growth, earnings trends, and margin expansion directly influence Vanguard ETF valuation.
| Total Asset | 123.23 M | |||
Performance Metrics & Calculation Methodology
Benchmark tracking for Vanguard Multifactor determines how closely returns mirror the target index after costs. Benchmark-relative positioning reveals whether results stem from exposure choice or market direction.
Vanguard Multifactor analytics rely on fund disclosures and market reference feeds, with quality checks and normalization applied. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Rifka Kats, Member of Macroaxis Editorial Board