Matahari Department Stock Forward View - Simple Regression

Matahari Department Additional Predictive Modules

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

Matahari Department Simple Regression Price Forecast For the 30th of January

Given 90 days horizon, the Simple Regression forecasted value of Matahari Department Store on the next trading day is expected to be 1,804 with a mean absolute deviation of 42.78, mean absolute percentage error of 2,579, and the sum of the absolute errors of 2,610.

Matahari Department Stock Forecast Pattern

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Matahari Department Price Prediction

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Matahari Department 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 Matahari Department stock data series using in forecasting. Note that when a statistical model is used to represent Matahari Department 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 Matahari Department Store 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 Matahari Department

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Matahari Department Store. 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 1,894 1,895 1,896 Details

Intrinsic Valuation Low Real High 1,706 2,158 2,159 Details

Bollinger Band Projection (param) Low Middle High 1,784 1,847 1,910 Details

Matahari Department After-Hype Price Density Analysis

Matahari Department Estimiated After-Hype Price Volatility

Matahari Department Stock Price Outlook Analysis

Notes

Matahari Department Hype Timeline

Matahari Department Store is now traded for 1,895on Jakarta Exchange of Indonesia. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Matahari is forecasted 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 forecasted to be very small, whereas the daily expected return is now at 0.19%. %. The volatility of related hype on Matahari Department is about 0.0%, with the expected price after the next announcement by competition of 1,895. About 46.0% of the company outstanding shares are owned by corporate insiders. The company recorded earning per share (EPS) of 629.56. Matahari Department Store last dividend was issued on the 14th of April 2022. The entity had 1:10 split on the 19th of November 2009. Assuming the 90 days trading horizon the next forecasted press release will be uncertain. Check out Historical Fundamental Analysis of Matahari Department to cross-verify your projections.

Matahari Department Related Hype Analysis

Other Forecasting Options for Matahari Department

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

Matahari Department Related Equities

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Correlation

Matahari Department Market Strength Events

Matahari Department Risk Indicators

Story Coverage note for Matahari Department

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Matahari Department Short Properties

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