Vaudoise Assurances Stock Forward View - Simple Regression

Vaudoise Assurances Additional Predictive Modules

Most predictive techniques to examine Vaudoise price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Vaudoise using various technical indicators. When you analyze Vaudoise 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 Vaudoise Assurances 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.

Vaudoise Assurances Simple Regression Price Forecast For the 4th of February

Given 90 days horizon, the Simple Regression forecasted value of Vaudoise Assurances Holding on the next trading day is expected to be 754.33 with a mean absolute deviation of 9.21, mean absolute percentage error of 135.24, and the sum of the absolute errors of 571.12.

Vaudoise Assurances Stock Forecast Pattern

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Vaudoise Assurances Price Prediction

Research Analysis

Vaudoise Assurances 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 Vaudoise Assurances stock data series using in forecasting. Note that when a statistical model is used to represent Vaudoise Assurances 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. 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 Vaudoise Assurances Holding 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 Vaudoise Assurances

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vaudoise Assurances. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 750.23 751.31 752.39 Details

Intrinsic Valuation Low Real High 675.90 847.04 848.12 Details

Bollinger Band Projection (param) Low Middle High 711.54 729.96 748.37 Details

Vaudoise Assurances After-Hype Price Density Analysis

Vaudoise Assurances Estimiated After-Hype Price Volatility

Vaudoise Assurances Stock Price Outlook Analysis

Notes

Vaudoise Assurances Hype Timeline

Vaudoise Assurances is at this time traded for 751.00on SIX Swiss Exchange of Switzerland. The entity has historical hype elasticity of 0.31, and average elasticity to hype of competition of -0.62. Vaudoise is anticipated to increase in value after the next headline, with the price projected to jump to 751.31 or above. The average volatility of media hype impact on the company the price is about 108.0%. The price increase on the next news is anticipated to be 0.04%, whereas the daily expected return is at this time at 0.31%. The volatility of related hype on Vaudoise Assurances is about 53.87%, with the expected price after the next announcement by competition of 750.38. The company reported the revenue of 1.6 B. Net Income was 147.01 M with profit before overhead, payroll, taxes, and interest of 233 M. Assuming the 90 days trading horizon the next anticipated press release will be in about 3 days. Check out Historical Fundamental Analysis of Vaudoise Assurances to cross-verify your projections.

Vaudoise Assurances Related Hype Analysis

Other Forecasting Options for Vaudoise Assurances

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

Vaudoise Assurances Related Equities

Risk & Return

Correlation

Vaudoise Assurances Market Strength Events

Vaudoise Assurances Risk Indicators

Story Coverage note for Vaudoise Assurances

Other Macroaxis Stories

Vaudoise Assurances Short Properties

Additional Tools for Vaudoise Stock Analysis