Siemens Energy Pink Sheet Forecast - Simple Regression

Siemens Energy Additional Predictive Modules

Most predictive techniques to examine Siemens price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Siemens using various technical indicators. When you analyze Siemens charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through Siemens Energy 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.

Siemens Energy Simple Regression Price Forecast For the 26th of January

Given 90 days horizon, the Simple Regression forecasted value of Siemens Energy AG on the next trading day is expected to be 158.43 with a mean absolute deviation of 3.60, mean absolute percentage error of 20.45, and the sum of the absolute errors of 219.33.

Siemens Energy Pink Sheet Forecast Pattern

Backtest Siemens Energy

Siemens Energy Price Prediction

Buy or Sell Advice

Siemens Energy Forecasted Value

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 Siemens Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Siemens Energy pink sheet, 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. 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 Siemens Energy 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.

Predictive Modules for Siemens Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siemens Energy AG. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 162.87 166.21 169.55 Details

Intrinsic Valuation Low Real High 119.26 122.60 182.25 Details

Bollinger Band Projection (param) Low Middle High 129.05 146.36 163.66 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Siemens Energy. Your research has to be compared to or analyzed against Siemens Energy's peers to derive any actionable benefits. When done correctly, Siemens Energy's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Siemens Energy AG.

Siemens Energy After-Hype Price Prediction Density Analysis

Siemens Energy Estimiated After-Hype Price Volatility

Siemens Energy Pink Sheet Price Prediction Analysis

Siemens Energy Hype Timeline

Siemens Energy AG is at this time traded for 165.68. The entity has historical hype elasticity of 0.53, and average elasticity to hype of competition of 0.2. Siemens is forecasted to increase in value after the next headline, with the price projected to jump to 166.21 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is estimated to be 0.32%, whereas the daily expected return is at this time at 0.59%. The volatility of related hype on Siemens Energy is about 965.32%, with the expected price after the next announcement by competition of 165.88. The company reported the revenue of 29 B. Net Loss for the year was (404 M) with profit before overhead, payroll, taxes, and interest of 3.42 B. Assuming the 90 days horizon the next forecasted press release will be in about 12 days. Check out Historical Fundamental Analysis of Siemens Energy to cross-verify your projections.

Siemens Energy Related Hype Analysis

Other Forecasting Options for Siemens Energy

For every potential investor in Siemens, whether a beginner or expert, Siemens Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Siemens Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Siemens. Basic forecasting techniques help filter out the noise by identifying Siemens Energy's price trends.

Siemens Energy Related Equities

Risk & Return

Correlation

Siemens Energy Market Strength Events

Siemens Energy Risk Indicators

Story Coverage note for Siemens Energy

Other Macroaxis Stories

Other Information on Investing in Siemens Pink Sheet