First Industrial Stock Forecast - Naive Prediction

FR Stock  USD 54.08  0.23  0.43%   
The Naive Prediction forecasted value of First Industrial Realty on the next trading day is expected to be 54.96 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 27.00. First Stock Forecast is based on your current time horizon. Although First Industrial's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of First Industrial's systematic risk associated with finding meaningful patterns of First Industrial fundamentals over time.
  
At this time, First Industrial's Fixed Asset Turnover is relatively stable compared to the past year. As of 11/27/2024, Asset Turnover is likely to grow to 0.14, while Inventory Turnover is likely to drop 9.81. . As of 11/27/2024, Net Income Applicable To Common Shares is likely to grow to about 433.2 M, while Common Stock Shares Outstanding is likely to drop slightly above 79.2 M.

First Industrial Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the First Industrial's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
1994-09-30
Previous Quarter
46.5 M
Current Value
47.1 M
Quarterly Volatility
40.5 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for First Industrial is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of First Industrial Realty value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

First Industrial Naive Prediction Price Forecast For the 28th of November

Given 90 days horizon, the Naive Prediction forecasted value of First Industrial Realty on the next trading day is expected to be 54.96 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.29, and the sum of the absolute errors of 27.00.
Please note that although there have been many attempts to predict First Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that First Industrial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Industrial Stock Forecast Pattern

Backtest First IndustrialFirst Industrial Price PredictionBuy or Sell Advice 

First Industrial Forecasted Value

In the context of forecasting First Industrial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. First Industrial's downside and upside margins for the forecasting period are 53.93 and 55.98, respectively. We have considered First Industrial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
54.08
54.96
Expected Value
55.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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.
AICAkaike Information Criteria116.8795
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4426
MAPEMean absolute percentage error0.0081
SAESum of the absolute errors26.9984
This model is not at all useful as a medium-long range forecasting tool of First Industrial Realty. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict First Industrial. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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
LowEstimatedHigh
52.7653.7954.82
Details
Intrinsic
Valuation
LowRealHigh
48.4755.1256.15
Details
Bollinger
Band Projection (param)
LowMiddleHigh
52.0553.1354.21
Details
16 Analysts
Consensus
LowTargetHigh
51.1056.1562.33
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

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with First Industrial stock to make a market-neutral strategy. Peer analysis of First Industrial could also be used in its relative valuation, which is a method of valuing First Industrial by comparing valuation metrics with similar companies.
 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

Market strength indicators help investors to evaluate how First Industrial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading First Industrial shares will generate the highest return on investment. By undertsting and applying First Industrial stock market strength indicators, traders can identify First Industrial Realty entry and exit signals to maximize returns.

First Industrial Risk Indicators

The analysis of First Industrial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in First Industrial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting first stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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.

Moving together with First Stock

  0.93EGP EastGroup PropertiesPairCorr
  0.77HPP Hudson Pacific PropertiesPairCorr

Moving against First Stock

  0.78UE Urban Edge PropertiesPairCorr
  0.72SLG SL Green Realty Fiscal Year End 22nd of January 2025 PairCorr
  0.7SPG Simon Property GroupPairCorr
  0.67EQIX EquinixPairCorr
  0.53SBRA Sabra Healthcare REITPairCorr
The ability to find closely correlated positions to First Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Industrial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back First Industrial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling First Industrial Realty to buy it.
The correlation of First Industrial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as First Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Industrial Realty moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for First Industrial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for First Stock Analysis

When running First Industrial's price analysis, check to measure First Industrial's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy First Industrial is operating at the current time. Most of First Industrial's value examination focuses on studying past and present price action to predict the probability of First Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move First Industrial's price. Additionally, you may evaluate how the addition of First Industrial to your portfolios can decrease your overall portfolio volatility.