Installed Building Stock Forecast - Simple Regression

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

Installed Building Simple Regression Price Forecast For the 14th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Installed Building Products on the next trading day is expected to be 206.24 with a mean absolute deviation of 7.81, mean absolute percentage error of 94.65, and the sum of the absolute errors of 476.16.

Installed Building Stock Forecast Pattern

Backtest Installed Building

Installed Building Price Prediction

Buy or Sell Advice

Installed Building 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 Installed Building stock data series using in forecasting. Note that when a statistical model is used to represent Installed Building 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 Installed Building Products 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 Installed Building

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Installed Building. 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 198.54 201.30 204.06 Details

Intrinsic Valuation Low Real High 166.88 169.64 221.27 Details

Bollinger Band Projection (param) Low Middle High 194.86 224.91 254.96 Details

11 Analysts Consensus Low Target High 144.99 159.33 176.86 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Installed Building. Your research has to be compared to or analyzed against Installed Building's peers to derive any actionable benefits. When done correctly, Installed Building's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Installed Building.

Other Forecasting Options for Installed Building

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

Installed Building Related Equities

Risk & Return

Correlation

Installed Building 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 Installed Building'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 Installed Building's current price.

Installed Building Market Strength Events

Installed Building Risk Indicators

Pair Trading with Installed Building

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Installed Building position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Installed Building will appreciate offsetting losses from the drop in the long position's value.

Additional Tools for Installed Stock Analysis