Sunson Textile Stock Forecast - Simple Regression

Simple Regression model is a single variable regression model that attempts to put a straight line through Sunson Textile 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.

Sunson Textile Simple Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Sunson Textile Manufacturer on the next trading day is expected to be 185.75 with a mean absolute deviation of 13.28, mean absolute percentage error of 409.70, and the sum of the absolute errors of 810.04.

Sunson Textile Stock Forecast Pattern

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Sunson Textile 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 Sunson Textile stock data series using in forecasting. Note that when a statistical model is used to represent Sunson Textile 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 Sunson Textile Manufacturer 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 Sunson Textile

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sunson Textile Manuf. 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 275.65 284.00 292.35 Details

Intrinsic Valuation Low Real High 198.92 207.27 312.40 Details

Other Forecasting Options for Sunson Textile

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

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Risk & Return

Correlation

Sunson Textile Manuf Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sunson Textile's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Sunson Textile's current price.

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