JOHNSON SVC Stock Forward View - Simple Regression

JOHNSON SVC Additional Predictive Modules

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

JOHNSON SVC Simple Regression Price Forecast For the 23rd of February

Given 90 days horizon, the Simple Regression forecasted value of JOHNSON SVC LS 10 on the next trading day is expected to be 1.60 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0007, and the sum of the absolute errors of 1.28.

JOHNSON SVC Stock Forecast Pattern

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JOHNSON SVC Price Prediction

Research Analysis

JOHNSON SVC 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 JOHNSON SVC stock data series using in forecasting. Note that when a statistical model is used to represent JOHNSON SVC 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 JOHNSON SVC LS 10 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 JOHNSON SVC

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JOHNSON SVC LS. 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 0.14 1.60 3.06 Details

Intrinsic Valuation Low Real High 0.11 1.57 3.03 Details

Bollinger Band Projection (param) Low Middle High 1.34 1.60 1.86 Details

JOHNSON SVC After-Hype Price Density Analysis

JOHNSON SVC Estimiated After-Hype Price Volatility

JOHNSON SVC Stock Price Outlook Analysis

Notes

JOHNSON SVC Hype Timeline

JOHNSON SVC LS is presently traded for 1.60on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.26. JOHNSON is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is presently at 0.12%. %. The volatility of related hype on JOHNSON SVC is about 68.67%, with the expected price after the next announcement by competition of 1.34. About 83.0% of the company shares are owned by institutions such as pension funds. The company has Price-to-Book (P/B) ratio of 1.79. In the past many companies with similar price-to-book ratios have beat the market. JOHNSON SVC LS last dividend was issued on the 2nd of October 2025. Assuming the 90 days horizon the next estimated press release will be very soon. Check out Historical Fundamental Analysis of JOHNSON SVC to cross-verify your projections.

JOHNSON SVC Related Hype Analysis

Other Forecasting Options for JOHNSON SVC

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

JOHNSON SVC Related Equities

Risk & Return

Correlation

JOHNSON SVC Market Strength Events

JOHNSON SVC Risk Indicators

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