Friedman Industries Stock Forecast - Simple Regression

FRD Stock  USD 15.77  0.12  0.76%   
The Simple Regression forecasted value of Friedman Industries on the next trading day is expected to be 15.42 with a mean absolute deviation of 0.83 and the sum of the absolute errors of 50.33. Friedman Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Friedman Industries stock prices and determine the direction of Friedman Industries's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Friedman Industries' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The current year's Inventory Turnover is expected to grow to 4.93. The current year's Payables Turnover is expected to grow to 13.78. The current year's Common Stock Shares Outstanding is expected to grow to about 7.5 M. The current year's Net Income Applicable To Common Shares is expected to grow to about 25.8 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through Friedman Industries 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.

Friedman Industries Simple Regression Price Forecast For the 14th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Friedman Industries on the next trading day is expected to be 15.42 with a mean absolute deviation of 0.83, mean absolute percentage error of 0.95, and the sum of the absolute errors of 50.33.
Please note that although there have been many attempts to predict Friedman 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 Friedman Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Friedman Industries Stock Forecast Pattern

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Friedman Industries Forecasted Value

In the context of forecasting Friedman Industries' 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. Friedman Industries' downside and upside margins for the forecasting period are 11.93 and 18.91, respectively. We have considered Friedman Industries' 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
15.77
15.42
Expected Value
18.91
Upside

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 Friedman Industries stock data series using in forecasting. Note that when a statistical model is used to represent Friedman Industries 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 Criteria118.0625
BiasArithmetic mean of the errors None
MADMean absolute deviation0.8251
MAPEMean absolute percentage error0.0542
SAESum of the absolute errors50.3308
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 Friedman Industries 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 Friedman Industries

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Friedman Industries. 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
12.4815.9719.46
Details
Intrinsic
Valuation
LowRealHigh
11.2514.7418.23
Details

Other Forecasting Options for Friedman Industries

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

Friedman Industries 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 Friedman Industries stock to make a market-neutral strategy. Peer analysis of Friedman Industries could also be used in its relative valuation, which is a method of valuing Friedman Industries by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Friedman Industries 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 Friedman Industries' 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 Friedman Industries' current price.

Friedman Industries Market Strength Events

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

Friedman Industries Risk Indicators

The analysis of Friedman Industries' 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 Friedman Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting friedman 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Friedman Industries is a strong investment it is important to analyze Friedman Industries' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Friedman Industries' future performance. For an informed investment choice regarding Friedman Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Friedman Industries to cross-verify your projections.
For information on how to trade Friedman Stock refer to our How to Trade Friedman Stock guide.
You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Is Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Friedman Industries. If investors know Friedman will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Friedman Industries listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.33)
Dividend Share
0.14
Earnings Share
1.1
Revenue Per Share
66.665
Quarterly Revenue Growth
1.802
The market value of Friedman Industries is measured differently than its book value, which is the value of Friedman that is recorded on the company's balance sheet. Investors also form their own opinion of Friedman Industries' value that differs from its market value or its book value, called intrinsic value, which is Friedman Industries' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Friedman Industries' market value can be influenced by many factors that don't directly affect Friedman Industries' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Friedman Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Friedman Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Friedman Industries' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.