Avantis Real Estate ETF Performance

AVRE ETF  USD 47.43  0.20  0.42%   
For Avantis Real, absolute and relative returns are mapped against common benchmarks. The stock's expected return across the 3 months window is 0.0956%.
Risk-Adjusted Performance
Moderate
8
0100
Avantis Real Estate currently ranks below 8% of comparable global equities and portfolios when recent risk-adjusted returns are measured across a 90-day horizon. Return quality should be judged alongside the volatility required to produce it. Avantis Real is producing inconclusive returns, with efficiency neither rewarding nor decisively penalizing holders. Learn More

Relative Risk vs. Return Landscape

If you had invested $ 4,478 in Avantis Real Estate on February 5, 2026 and sold it today, you would have earned $ 265.00 , a return of 5.92% over 90 days. Avantis Real Estate is currently generating a 0.0956% daily expected return and carries 0.9333% risk (volatility on return distribution) over a 90-day horizon. In relative terms, Avantis Real exhibits above-average volatility, exceeding roughly 92% of comparable etfs, and AVRE has trailed 99% of traded instruments in return over the 90-day horizon.
  Expected Return   
       Risk  
This market-relative note looks at return potential and the amount of risk required to get it. It keeps the emphasis on benchmark context, not just standalone performance. Given a 90-day horizon, AVRE generates 0.97 times more return on investment than the market. Moreover, AVRE is 1.04 times less risky than the market. Its risk-adjusted efficiency stands at about 0.1% per unit of risk. Dow Jones Industrial is currently generating roughly 0.02% per unit of risk.

Target Price Odds to finish over Current Price

The mean-reverting behavior of Avantis Real ETF price is a cornerstone of quantitative forecasting models. Studies have found that some ETFs are persistently mispriced, with spreads correcting only when dynamics shift. Embedded risk premiums affect the speed at which mispriced ETFs converge to their intrinsic value estimates. This concept remains a foundational input for building forecasting models around Avantis Real ETF price behavior.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
47.43 90 days 47.43
about 16.05 %
Probability analysis for this ETF suggests that the odds of Avantis Real moving above the current price in 90 days from now are about 16.05 %. Recent return data has shown a distribution that skews above the current level over this window. (This density function focuses attention on the most probable trading range for Avantis Real ETF over the next 90 days).
Given a 90-day horizon, Avantis Real has a beta of 0.68. This suggests as returns on the market go up, Avantis Real's average returns tend to increase less than the benchmark. However, during a bear market, the loss from holding Avantis Real Estate tends to be smaller as well. Additionally, Avantis Real Estate has an alpha of 0.0848, implying that it can generate a 0.0848 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   Avantis Real Price Density   
       Price  

Predictive Modules for Avantis Real

The challenge of forecasting Avantis Real Estate mirrors the broader difficulty of predicting ETF market movements. While perfect accuracy is unattainable, applying multiple models remains a core part of sound ETF analysis. Market surprises are inevitable, but disciplined forecasting still improves investment decision-making. Applying diverse ETF forecasting tools remains one of the most practical paths to better investment decisions.
The mean reversion effect in Avantis Real is stronger when the initial deviation was driven by sentiment rather than fundamentals. Such deviations have sometimes corrected when the initial catalyst fades, though timing remains uncertain. The degree to which Avantis Real's exhibits mean reversion depends on how efficiently the market prices new information. Short-term deviations tend to persist and even widen before correcting, making allocation calibration important.
Sentiment
Range
LowSentimentHigh
46.5047.4348.36
Details
Intrinsic
Valuation
LowIntrinsicHigh
42.6949.9850.91
Details
Naive
Forecast
LowNextHigh
45.1646.0947.02
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
45.0546.8348.62
Details
Peer benchmarking frames Avantis Real's operating metrics and market pricing against comparable companies. Placing Avantis Real's results in peer context distinguishes company-specific performance from industry-wide trends. Standalone financial analysis captures Avantis Real's individual trajectory; peer comparison reveals relative standing. Peer benchmarking forms the basis of most institutional comparative equity analysis.

Primary Risk Indicators

Over recent decades, the ETF market has seen multiple large corrections and recoveries affecting Avantis Real. Both sharp declines and powerful rallies have tested investor discipline in Avantis Real Estate. Tracking Avantis Real's volatility and fundamental risk indicators provides a framework for managing downside exposure. This framework supports more informed hedging and position-sizing decisions for Avantis Real Estate.
α
Alpha over Dow Jones
0.08
β
Beta against Dow Jones0.68
σ
Overall volatility
1.32
Ir
Information ratio 0.09

Avantis Real Fundamentals Growth

The market value of Avantis Real ETF depends on how investors perceive Avantis Real's financial strength. Earnings growth, revenue momentum, profitability ratios, and debt levels drive Avantis Real ETF valuation. The financial health of Avantis Real is the primary driver of Avantis Real ETF market performance over time. Investors pricing Avantis Real ETF focus on Avantis Real's core financial fundamentals and growth trajectory.

Performance Metrics & Calculation Methodology

Avantis Real risk-adjusted performance compares returns to the volatility absorbed while tracking its benchmark. Return per unit of risk provides a more stable comparison across instruments and regimes.

Avantis Real Estate metrics draw on fund disclosures and market reference feeds, standardized for cross-period comparison. Return and risk statistics are calculated from historical price series.

Editorial review and methodology oversight provided by: Gabriel Shpitalnik, Member of Macroaxis Editorial Board