FAT Brands Stock Forecast - Simple Regression

FATBWDelisted Stock  USD 2.95  0.57  23.95%   
The Simple Regression forecasted value of FAT Brands on the next trading day is expected to be 2.91 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 29.70. FAT Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through FAT Brands 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.

FAT Brands Simple Regression Price Forecast For the 26th of July

Given 90 days horizon, the Simple Regression forecasted value of FAT Brands on the next trading day is expected to be 2.91 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.36, and the sum of the absolute errors of 29.70.
Please note that although there have been many attempts to predict FAT 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 FAT Brands' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FAT Brands Stock Forecast Pattern

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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 FAT Brands stock data series using in forecasting. Note that when a statistical model is used to represent FAT Brands 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 Criteria117.089
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4868
MAPEMean absolute percentage error0.1329
SAESum of the absolute errors29.6972
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 FAT Brands 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 FAT Brands

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FAT Brands. 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
0.152.9516.30
Details
Intrinsic
Valuation
LowRealHigh
0.142.8716.22
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as FAT Brands. Your research has to be compared to or analyzed against FAT Brands' peers to derive any actionable benefits. When done correctly, FAT Brands' 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 FAT Brands.

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

FAT Brands Market Strength Events

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

FAT Brands Risk Indicators

The analysis of FAT Brands' 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 FAT Brands' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fat 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.
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.
You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

Other Consideration for investing in FAT Stock

If you are still planning to invest in FAT Brands check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the FAT Brands' history and understand the potential risks before investing.
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