Security Federal Pink Sheet Forecast - Polynomial Regression

SFDL Stock  USD 27.00  1.00  3.57%   
The Polynomial Regression forecasted value of Security Federal on the next trading day is expected to be 27.01 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 11.93. Security Pink Sheet Forecast is based on your current time horizon.
  
Security Federal polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Security Federal as well as the accuracy indicators are determined from the period prices.

Security Federal Polynomial Regression Price Forecast For the 26th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Security Federal on the next trading day is expected to be 27.01 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.93.
Please note that although there have been many attempts to predict Security Pink Sheet 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 Security Federal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Security Federal Pink Sheet Forecast Pattern

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Security Federal Forecasted Value

In the context of forecasting Security Federal's Pink Sheet 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. Security Federal's downside and upside margins for the forecasting period are 26.26 and 27.77, respectively. We have considered Security Federal'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
27.00
27.01
Expected Value
27.77
Upside

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 Security Federal pink sheet data series using in forecasting. Note that when a statistical model is used to represent Security Federal pink sheet, 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 Criteria115.4307
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1956
MAPEMean absolute percentage error0.0071
SAESum of the absolute errors11.9318
A single variable polynomial regression model attempts to put a curve through the Security Federal historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Security Federal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Security Federal. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Security Federal's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
26.2527.0027.75
Details
Intrinsic
Valuation
LowRealHigh
26.4727.2127.97
Details

Other Forecasting Options for Security Federal

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

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

Security Federal Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Security Federal'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 Security Federal's current price.

Security Federal Market Strength Events

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

Security Federal Risk Indicators

The analysis of Security Federal'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 Security Federal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting security pink sheet 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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Other Information on Investing in Security Pink Sheet

Security Federal financial ratios help investors to determine whether Security Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Security with respect to the benefits of owning Security Federal security.