Sulzer AG Stock Forward View - Polynomial Regression
| SUN Stock | CHF 161.80 1.60 1.00% |
This reference page presents Polynomial Regression forecast data for Sulzer AG. The projected values and error metrics are presented below as reference information. The output values and deviation metrics are provided for informational reference.
The Polynomial Regression forecasted value of Sulzer AG on the next trading day is expected to be 154.59 with a mean absolute deviation of 3.43 and the sum of the absolute errors of 209.52.A single variable polynomial regression model attempts to put a curve through the Sulzer AG historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm This Polynomial Regression forecast data for Sulzer AG is sourced from the most recent available trading data and is intended solely as reference information. Polynomial Regression Price Forecast For the 25th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Sulzer AG on the next trading day is expected to be 154.59 with a mean absolute deviation of 3.43 , mean absolute percentage error of 17.82 , and the sum of the absolute errors of 209.52 .Please note that although there have been many attempts to predict Sulzer 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 Sulzer AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Sulzer AG | Sulzer AG Price Prediction | Research Analysis |
Forecasted Value
Forecasting Sulzer AG for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 152.44 on the downside to about 156.75 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Sulzer AG stock data series using in forecasting. Note that when a statistical model is used to represent Sulzer AG 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.| AIC | Akaike Information Criteria | 120.9911 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.4347 |
| MAPE | Mean absolute percentage error | 0.0207 |
| SAE | Sum of the absolute errors | 209.5189 |
Other Forecasting Options for Sulzer AG
Sulzer AG's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Sulzer often signals an upcoming reversal or acceleration. Gap analysis of Sulzer Stock data examines overnight jumps between Sulzer AG's closing and opening prices.Sulzer AG Related Equities
These stocks are related to Sulzer AG within the Industrials space and can be used for peer review, pricing, or spreading risk. Market cap and total value checks frame Sulzer AG's size within the competitive field.
| Risk & Return | Correlation |
Sulzer AG Market Strength Events
Market strength indicators help investors evaluate how Sulzer AG stock reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Sulzer AG. These indicators can identify periods when trading Sulzer AG may offer more favorable risk-reward conditions.
Sulzer AG Risk Indicators
The analysis of Sulzer AG's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding Sulzer AG's allows investors to make informed decisions about their exposure. The analysis of Sulzer AG's basic risk metrics provides a foundation for managing investment risk.
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.79 | |||
| Standard Deviation | 2.06 | |||
| Variance | 4.23 | |||
| Downside Variance | 4.06 | |||
| Semi Variance | 3.22 | |||
| Expected Short fall | -1.40 |
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 Sulzer AG
A coverage review of Sulzer AG shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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Sulzer AG Short Properties
Short-interest signals around Sulzer AG 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 Outstanding | 34.2 M | |
| Cash And Short Term Investments | 927.4 M |
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