Fairholme Allocation Mutual Fund Forecast - Polynomial Regression

FAAFXDelisted Fund  USD 9.50  0.00  0.00%   
The Polynomial Regression forecasted value of The Fairholme Allocation on the next trading day is expected to be 9.22 with a mean absolute deviation of  0.1  and the sum of the absolute errors of 5.83. Fairholme Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Fairholme Allocation stock prices and determine the direction of The Fairholme Allocation's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Fairholme Allocation's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in census.
  
Most investors in Fairholme Allocation cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Fairholme Allocation's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Fairholme Allocation's price structures and extracts relationships that further increase the generated results' accuracy.
Fairholme Allocation polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for The Fairholme Allocation as well as the accuracy indicators are determined from the period prices.

Fairholme Allocation Polynomial Regression Price Forecast For the 23rd of May

Given 90 days horizon, the Polynomial Regression forecasted value of The Fairholme Allocation on the next trading day is expected to be 9.22 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.83.
Please note that although there have been many attempts to predict Fairholme Mutual Fund 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 Fairholme Allocation's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fairholme Allocation Mutual Fund Forecast Pattern

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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 Fairholme Allocation mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fairholme Allocation mutual fund, 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 Criteria114.0372
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0956
MAPEMean absolute percentage error0.0105
SAESum of the absolute errors5.8289
A single variable polynomial regression model attempts to put a curve through the Fairholme Allocation 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 Fairholme Allocation

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as The Fairholme Allocation. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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 Fairholme Allocation'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
9.509.509.50
Details
Intrinsic
Valuation
LowRealHigh
8.648.6410.45
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fairholme Allocation. Your research has to be compared to or analyzed against Fairholme Allocation's peers to derive any actionable benefits. When done correctly, Fairholme Allocation'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 The Fairholme Allocation.

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

Fairholme Allocation Market Strength Events

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

Fairholme Allocation Risk Indicators

The analysis of Fairholme Allocation'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 Fairholme Allocation's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fairholme mutual fund 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 mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in census.
Note that the The Fairholme Allocation information on this page should be used as a complementary analysis to other Fairholme Allocation's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

Other Consideration for investing in Fairholme Mutual Fund

If you are still planning to invest in The Fairholme Allocation 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 Fairholme Allocation's history and understand the potential risks before investing.
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