Oberweis Emerging Mutual Fund Forecast - Polynomial Regression

OBEMX Fund  USD 9.59  0.00  0.00%   
The Polynomial Regression forecasted value of Oberweis Emerging Markets on the next trading day is expected to be 8.77 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 28.97. Oberweis Mutual Fund Forecast is based on your current time horizon.
  
Oberweis Emerging polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Oberweis Emerging Markets as well as the accuracy indicators are determined from the period prices.

Oberweis Emerging Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Oberweis Emerging Markets on the next trading day is expected to be 8.77 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.36, and the sum of the absolute errors of 28.97.
Please note that although there have been many attempts to predict Oberweis 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 Oberweis Emerging's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Oberweis Emerging 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 Oberweis Emerging mutual fund data series using in forecasting. Note that when a statistical model is used to represent Oberweis Emerging 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 Criteria117.0977
BiasArithmetic mean of the errors None
MADMean absolute deviation0.475
MAPEMean absolute percentage error0.0433
SAESum of the absolute errors28.9722
A single variable polynomial regression model attempts to put a curve through the Oberweis Emerging 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 Oberweis Emerging

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Oberweis Emerging Markets. 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.
Hype
Prediction
LowEstimatedHigh
9.599.599.59
Details
Intrinsic
Valuation
LowRealHigh
8.639.969.96
Details
Bollinger
Band Projection (param)
LowMiddleHigh
7.9010.1812.47
Details

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

Oberweis Emerging Market Strength Events

Market strength indicators help investors to evaluate how Oberweis Emerging 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 Oberweis Emerging shares will generate the highest return on investment. By undertsting and applying Oberweis Emerging mutual fund market strength indicators, traders can identify Oberweis Emerging Markets entry and exit signals to maximize returns.

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.

Other Information on Investing in Oberweis Mutual Fund

Oberweis Emerging financial ratios help investors to determine whether Oberweis Mutual Fund 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 Oberweis with respect to the benefits of owning Oberweis Emerging security.
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