Schindler Holding Stock Forward View - Simple Regression

SCHN Stock  CHF 253.00  1.50  0.60%   
This page provides Simple Regression reference data for Schindler Holding AG, calculated from historical daily prices. The model output shown here is derived from Schindler Holding's historical price series and is provided for informational purposes. Projected values and accuracy measures are included for reference.
The Simple Regression forecasted value of Schindler Holding AG on the next trading day is expected to be 259.44 with a mean absolute deviation of 6.46 and the sum of the absolute errors of 400.75.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 Schindler Holding AG 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 Schindler Holding 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 Schindler Holding 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 27th of March

Given 90 days horizon, the Simple Regression forecasted value of Schindler Holding AG on the next trading day is expected to be 259.44 with a mean absolute deviation of 6.46 , mean absolute percentage error of 64.11 , and the sum of the absolute errors of 400.75 .
Please note that although there have been many attempts to predict Schindler 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 Schindler Holding's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Schindler Holding  Schindler Holding Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates Schindler Holding's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 257.79 on the downside to about 261.09 on the upside.
Market Value
253.00
257.79
Downside
259.44
Expected Value
261.09
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 Schindler Holding stock data series using in forecasting. Note that when a statistical model is used to represent Schindler Holding 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 Criteria124.1089
BiasArithmetic mean of the errors None
MADMean absolute deviation6.4638
MAPEMean absolute percentage error0.0233
SAESum of the absolute errors400.7527
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 Schindler Holding AG 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 Schindler Holding

The autocorrelation structure of Schindler Holding's daily returns reveals whether Schindler exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements helps distinguish persistent directional moves from temporary noise in Schindler Stock price data. Stochastic oscillator analysis compares Schindler Holding's closing price to its range over a given period.

Schindler Holding Related Equities

Checking Schindler Holding against related firms within the Industrials space helps investors see where the stock stands among peers. Checking cash flow across this peer set helps gauge Schindler Holding's relative financial strength.
 Risk & Return  Correlation

Schindler Holding Market Strength Events

Market strength indicators applied to Schindler Holding stock help assess momentum and resilience across environments. These indicators support informed market timing decisions when analyzing Schindler Holding. For Schindler Holding AG, market strength indicators complement fundamental analysis with timing context.

Schindler Holding Risk Indicators

Risk indicator analysis for Schindler Holding is essential for accurately projecting its future price trajectory. The process involves identifying the amount of risk involved in Schindler Holding's investment and either accepting or mitigating it. Understanding the risk profile of Schindler Holding's allows investors to make more informed decisions about position sizing.
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 Schindler Holding

The amount of media and story coverage tied to Schindler Holding AG can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

Schindler Holding Short Properties

Short sentiment tied to Schindler Holding AG matters because heavier bearish pressure can change how quickly future price expectations become unstable. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
Common Stock Shares Outstanding107.3 M
Cash And Short Term Investments4.3 B

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