BROOKFBH 462 Stock Forecast - Simple Regression

Simple Regression model is a single variable regression model that attempts to put a straight line through BROOKFBH 462 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.

BROOKFBH 462 Simple Regression Price Forecast For the 28th of November

Given 90 days horizon, the Simple Regression forecasted value of BROOKFBH 462 PRSNU on the next trading day is expected to be 15.88 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.23, and the sum of the absolute errors of 27.21.

BROOKFBH 462 Stock Forecast Pattern

BROOKFBH 462 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 BROOKFBH 462 stock data series using in forecasting. Note that when a statistical model is used to represent BROOKFBH 462 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 BROOKFBH 462 PRSNU 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 BROOKFBH 462

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BROOKFBH 462 PRSNU. 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 12.51 15.57 18.63 Details

Intrinsic Valuation Low Real High 11.02 14.08 17.14 Details

Bollinger Band Projection (param) Low Middle High 14.29 15.30 16.31 Details

Other Forecasting Options for BROOKFBH 462

For every potential investor in BROOKFBH, whether a beginner or expert, BROOKFBH 462's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BROOKFBH Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BROOKFBH. Basic forecasting techniques help filter out the noise by identifying BROOKFBH 462's price trends.

BROOKFBH 462 Related Equities

Risk & Return

Correlation

BROOKFBH 462 PRSNU 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 BROOKFBH 462'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 BROOKFBH 462's current price.

BROOKFBH 462 Market Strength Events

BROOKFBH 462 Risk Indicators

Currently Active Assets on Macroaxis

Other Information on Investing in BROOKFBH Stock