Cohen Steers ETF Forward View - Simple Regression

RLTY ETF  USD 15.79  0.01  0.06%   
The Simple Regression output for Cohen Steers Real is derived from daily price data across the evaluation window. The error pattern reveals whether the model tracked prices consistently or diverged during volatile sessions. Parameters are re-estimated as new trading sessions are recorded, keeping the forecast current. The Simple Regression model projects Cohen Steers at 15.41 for the next trading day, below the most recent closing price. Cohen Steers's Simple Regression forecast is intended for short-term analytical reference.
Simple regression fits a straight line through Cohen Steers price points using a single independent variable (time). The line is defined by Y = intercept + slope * X, where the slope captures the average rate of price change and the intercept represents the baseline price level.

Simple Regression Price Forecast For the 14th of May 2026

Over a 90-day horizon, the Simple Regression model forecasts Cohen Steers at 15.41 for the next trading day, with a mean absolute deviation of 0.39 , mean absolute percentage error of 0.03 , and sum of absolute errors of 23.57 .
This represents a tight forecast with good short-term tracking of Cohen Steers' price movement. This output is intended for short-term analytical reference.

ETF Forecast Pattern

Backtest Cohen Steers  Cohen Steers Price Prediction  Research Analysis  

Forecasted Value

This forecast for Cohen Steers frames the expected trading range using downside and upside bounds rather than a single point target. Downside is estimated near 14.41 and upside near 16.41. The wide range indicates elevated uncertainty in short-term projections.
Market Value
15.79
15.41
Expected Value
16.41

Model Predictive Factors

The table below summarizes the Simple Regression model's error metrics for Cohen Steers ETF. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria116.7078
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3864
MAPEMean absolute percentage error0.0256
SAESum of the absolute errors23.5696
A positive slope indicates an upward price trend over the selected period; a negative slope indicates a downward trend. The R-squared value measures how well the linear model fits Cohen Steers Real price history - values near 1.0 indicate a strong linear trend, while low values suggest that price movement is not well explained by a simple time-based trend.

Other Forecasting Options for Cohen Steers

Volatility clustering is a well-documented feature of Cohen Steers ETF price data where periods of large moves tend to follow other large moves. When Cohen Steers' RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in Cohen Steers' returns tend to persist when driven by structural factors like earnings calendars or index rebalancing.

Cohen Steers Comparable Funds

The instruments listed below are comparable funds for Cohen Steers and provide a practical reference set. This peer set gives investors a way to compare Cohen Steers' structure and outcomes against similar portfolio vehicles.
 Risk & Return  Correlation

Cohen Steers Market Strength Events

Accumulation/Distribution and Balance of Power for Cohen Steers reveal whether buying or selling pressure dominates recent sessions. Balance of Power trending positive indicates that buyers are consistently closing Cohen Steers near session highs. These signals help explain whether price direction and session structure are moving together for Cohen Steers.

Cohen Steers Risk Indicators

Risk indicator analysis for Cohen Steers quantifies how much price variability the ETF has exhibited over the measurement window. Downside variance exceeding total variance indicates that negative moves in Cohen Steers have been larger or more frequent than positive ones. Mean deviation provides a more intuitive measure of typical price fluctuation than variance because it stays in the same units as Cohen Steers' price.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

More Resources for Cohen Steers ETF Analysis

Investors evaluate Cohen Steers Real using market price and NAV, each describing a different view of the fund. ETF assessment draws on expense ratio, liquidity, bid-ask spread, and how effectively the fund replicates its target exposure.
It is useful to distinguish Cohen Steers' trading price from its NAV, since each reflects a different perspective. ETF evaluation considers expense ratio, holdings quality, tracking accuracy, and category positioning.