Federal Agricultural Stock Forecast - Polynomial Regression
| A35 Stock | EUR 194.00 2.00 1.02% |
The Polynomial Regression forecasted value of Federal Agricultural Mortgage on the next trading day is expected to be 202.18 with a mean absolute deviation of 3.72 and the sum of the absolute errors of 227.12. Federal Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Federal Agricultural's historical fundamentals, such as revenue growth or operating cash flow patterns.
Federal |
Federal Agricultural Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Federal Agricultural Mortgage on the next trading day is expected to be 202.18 with a mean absolute deviation of 3.72, mean absolute percentage error of 27.27, and the sum of the absolute errors of 227.12.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 Agricultural | Federal Agricultural Price Prediction | Buy 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 200.08 and 204.29, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression 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.| AIC | Akaike Information Criteria | 121.4163 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.7233 |
| MAPE | Mean absolute percentage error | 0.0208 |
| SAE | Sum of the absolute errors | 227.1216 |
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.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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 194.0 | |||
| Day Typical Price | 194.0 | |||
| Price Action Indicator | (1.00) | |||
| Period Momentum Indicator | (2.00) |
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.
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.21 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.32 | |||
| Downside Variance | 2.66 | |||
| Semi Variance | 1.47 | |||
| Expected Short fall | (1.92) |
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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Additional Information and Resources on Investing in Federal Stock
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 Commodity Directory module to find actively traded commodities issued by global exchanges.