First Industrial Stock Forecast - Simple Regression

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

First Industrial Simple Regression Price Forecast For the 26th of November

Given 90 days horizon, the Simple Regression forecasted value of First Industrial Realty on the next trading day is expected to be 52.52 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.35, and the sum of the absolute errors of 28.59.

First Industrial Stock Forecast Pattern

Backtest First Industrial

First Industrial Price Prediction

Buy or Sell Advice

First Industrial 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 First Industrial stock data series using in forecasting. Note that when a statistical model is used to represent First Industrial 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 First Industrial Realty 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 First Industrial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Industrial Realty. 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 52.76 53.78 54.80 Details

Intrinsic Valuation Low Real High 48.38 55.14 56.17 Details

Bollinger Band Projection (param) Low Middle High 52.40 53.40 54.40 Details

16 Analysts Consensus Low Target High 51.10 56.15 62.33 Details

Other Forecasting Options for First Industrial

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

First Industrial Related Equities

Risk & Return

Correlation

First Industrial Realty 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 First Industrial'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 First Industrial's current price.

First Industrial Market Strength Events

First Industrial Risk Indicators

Pair Trading with First Industrial

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 First Industrial 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 First Industrial will appreciate offsetting losses from the drop in the long position's value.

Additional Tools for First Stock Analysis