Federal Agricultural Stock Forecast - Naive Prediction

AGM Stock  USD 210.95  5.86  2.86%   
The Naive Prediction forecasted value of Federal Agricultural Mortgage on the next trading day is expected to be 200.37 with a mean absolute deviation of 3.59 and the sum of the absolute errors of 222.33. Federal Stock Forecast is based on your current time horizon. Although Federal Agricultural's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Federal Agricultural's systematic risk associated with finding meaningful patterns of Federal Agricultural fundamentals over time.
  
As of the 26th of November 2024, Inventory Turnover is likely to drop to 0. In addition to that, Payables Turnover is likely to drop to 0. As of the 26th of November 2024, Common Stock Shares Outstanding is likely to grow to about 11.4 M. Also, Net Income Applicable To Common Shares is likely to grow to about 182.3 M.

Federal Agricultural Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Federal Agricultural's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
1992-12-31
Previous Quarter
923 M
Current Value
842.1 M
Quarterly Volatility
370.4 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Federal Agricultural is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Federal Agricultural Mortgage 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.

Federal Agricultural Naive Prediction Price Forecast For the 27th of November

Given 90 days horizon, the Naive Prediction forecasted value of Federal Agricultural Mortgage on the next trading day is expected to be 200.37 with a mean absolute deviation of 3.59, mean absolute percentage error of 22.34, and the sum of the absolute errors of 222.33.
Please note that although there have been many attempts to predict Federal 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 Federal Agricultural's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Federal Agricultural Stock Forecast Pattern

Backtest Federal AgriculturalFederal Agricultural Price PredictionBuy or Sell Advice 

Federal Agricultural Forecasted Value

In the context of forecasting Federal Agricultural'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. Federal Agricultural's downside and upside margins for the forecasting period are 198.36 and 202.39, respectively. We have considered Federal Agricultural'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
210.95
198.36
Downside
200.37
Expected Value
202.39
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 Federal Agricultural stock data series using in forecasting. Note that when a statistical model is used to represent Federal Agricultural 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 Criteria123.0548
BiasArithmetic mean of the errors None
MADMean absolute deviation3.5859
MAPEMean absolute percentage error0.0185
SAESum of the absolute errors222.328
This model is not at all useful as a medium-long range forecasting tool of Federal Agricultural Mortgage. 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 Federal Agricultural. 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 Federal Agricultural

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Federal Agricultural. 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
208.87210.84212.81
Details
Intrinsic
Valuation
LowRealHigh
197.12199.09232.05
Details
Bollinger
Band Projection (param)
LowMiddleHigh
200.85207.60214.35
Details
2 Analysts
Consensus
LowTargetHigh
189.58208.33231.25
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Federal Agricultural. Your research has to be compared to or analyzed against Federal Agricultural's peers to derive any actionable benefits. When done correctly, Federal Agricultural'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 Federal Agricultural.

Other Forecasting Options for Federal Agricultural

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

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

Federal Agricultural 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 Federal Agricultural'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 Federal Agricultural's current price.

Federal Agricultural Market Strength Events

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

Federal Agricultural Risk Indicators

The analysis of Federal Agricultural'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 Federal Agricultural's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting federal 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.

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When determining whether Federal Agricultural is a strong investment it is important to analyze Federal Agricultural's 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 Federal Agricultural's future performance. For an informed investment choice regarding Federal Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Federal Agricultural to cross-verify your projections.
You can also try the Stocks Directory module to find actively traded stocks across global markets.
Is Commercial & Residential Mortgage Finance 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 Federal Agricultural. If investors know Federal 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 Federal Agricultural 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
(0.18)
Dividend Share
5.3
Earnings Share
15.55
Revenue Per Share
32.007
Quarterly Revenue Growth
(0.11)
The market value of Federal Agricultural is measured differently than its book value, which is the value of Federal that is recorded on the company's balance sheet. Investors also form their own opinion of Federal Agricultural's value that differs from its market value or its book value, called intrinsic value, which is Federal Agricultural's 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 Federal Agricultural's market value can be influenced by many factors that don't directly affect Federal Agricultural's 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 Federal Agricultural's value and its price as these two are different measures arrived at by different means. Investors typically determine if Federal Agricultural is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Federal Agricultural's 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.