COLUMBIA SPORTSWEAR Stock Forward View - Simple Regression

CUW Stock  EUR 47.82  -0.17  -0.35%   
COLUMBIA SPORTSWEAR's Simple Regression reference data is presented on this page, derived from the application of the forecasting model to historical closing prices. Projected values and accuracy measures are included for reference.
The Simple Regression forecasted value of COLUMBIA SPORTSWEAR on the next trading day is expected to be 51.27 with a mean absolute deviation of 2.24 and the sum of the absolute errors of 139.02.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as COLUMBIA SPORTSWEAR historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. The Simple Regression reference information for COLUMBIA SPORTSWEAR is based on available price data and is intended for informational purposes.
Simple Regression model is a single variable regression model that attempts to put a straight line through COLUMBIA SPORTSWEAR price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Regression forecasted value of COLUMBIA SPORTSWEAR on the next trading day is expected to be 51.27 with a mean absolute deviation of 2.24 , mean absolute percentage error of 6.84 , and the sum of the absolute errors of 139.02 .
Please note that although there have been many attempts to predict COLUMBIA Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that COLUMBIA SPORTSWEAR's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest COLUMBIA SPORTSWEAR  COLUMBIA SPORTSWEAR Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates COLUMBIA SPORTSWEAR's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 49.14 and upside around 53.40 for the forecasting period.
Market Value
47.82
51.27
Expected Value
53.40
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of COLUMBIA SPORTSWEAR stock data series using in forecasting. Note that when a statistical model is used to represent COLUMBIA SPORTSWEAR stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria121.8715
BiasArithmetic mean of the errors None
MADMean absolute deviation2.2423
MAPEMean absolute percentage error0.0456
SAESum of the absolute errors139.022
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as COLUMBIA SPORTSWEAR historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for COLUMBIA SPORTSWEAR

For any investor considering COLUMBIA, COLUMBIA SPORTSWEAR's price movement is the central factor in determining investment viability. The noise present in COLUMBIA Stock price charts can distort investment decisions if not properly addressed.

COLUMBIA SPORTSWEAR Related Equities

The following equities are related to COLUMBIA SPORTSWEAR within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing COLUMBIA SPORTSWEAR against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

COLUMBIA SPORTSWEAR Market Strength Events

Market strength indicators for COLUMBIA SPORTSWEAR stock help investors evaluate the security's behavior relative to ongoing market conditions. These tools support better market timing and help identify entry and exit signals for COLUMBIA SPORTSWEAR.

COLUMBIA SPORTSWEAR Risk Indicators

The analysis of COLUMBIA SPORTSWEAR's basic risk indicators is a key input for accurate price forecasting and sound investment decisions. Understanding the risk in COLUMBIA SPORTSWEAR's investment allows investors to make informed choices about accepting or mitigating that exposure.
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.

Story Coverage note for COLUMBIA SPORTSWEAR

Story coverage around COLUMBIA SPORTSWEAR often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.

COLUMBIA SPORTSWEAR Short Properties

Short-interest signals around COLUMBIA SPORTSWEAR can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
Common Stock Shares Outstanding53.5 M
Dividends Paid-65.5 M

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