First Trust Mutual Fund Forecast - Polynomial Regression

FDHAX Fund  USD 18.19  0.01  0.06%   
The Polynomial Regression forecasted value of First Trust Short on the next trading day is expected to be 18.19 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.88. First Mutual Fund Forecast is based on your current time horizon.
  
First Trust polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for First Trust Short as well as the accuracy indicators are determined from the period prices.

First Trust Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of First Trust Short on the next trading day is expected to be 18.19 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.88.
Please note that although there have been many attempts to predict First 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 First Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Trust Mutual Fund Forecast Pattern

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First Trust Forecasted Value

In the context of forecasting First Trust's Mutual Fund 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. First Trust's downside and upside margins for the forecasting period are 18.06 and 18.33, respectively. We have considered First Trust'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
18.19
18.19
Expected Value
18.33
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 First Trust mutual fund data series using in forecasting. Note that when a statistical model is used to represent First Trust 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 Criteria111.7615
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0308
MAPEMean absolute percentage error0.0017
SAESum of the absolute errors1.8795
A single variable polynomial regression model attempts to put a curve through the First Trust 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 First Trust

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Trust Short. 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
18.0518.1818.31
Details
Intrinsic
Valuation
LowRealHigh
16.5716.7020.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.1818.1818.18
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as First Trust. Your research has to be compared to or analyzed against First Trust's peers to derive any actionable benefits. When done correctly, First Trust'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 First Trust Short.

Other Forecasting Options for First Trust

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

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

First Trust Short Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of First Trust'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 First Trust's current price.

First Trust Market Strength Events

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

First Trust Risk Indicators

The analysis of First Trust'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 First Trust's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting first 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.

Other Information on Investing in First Mutual Fund

First Trust financial ratios help investors to determine whether First 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 First with respect to the benefits of owning First Trust security.
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