First Trust Etf Forward View - Simple Regression

FHH-F Etf  CAD 30.19  0.00  0.00%   
First Trust AlphaDEX's Simple Regression forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Simple Regression forecasted value of First Trust AlphaDEX on the next trading day is expected to be 30.82 with a mean absolute deviation of 0.50 and the sum of the absolute errors of 30.33.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as First Trust AlphaDEX historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. The Simple Regression projections for First Trust AlphaDEX are reference data based on historical daily prices and are provided as informational context.
Simple Regression model is a single variable regression model that attempts to put a straight line through First Trust price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 19th of March

Given 90 days horizon, the Simple Regression forecasted value of First Trust AlphaDEX on the next trading day is expected to be 30.82 with a mean absolute deviation of 0.50 , mean absolute percentage error of 0.26 , and the sum of the absolute errors of 30.33 .
Please note that although there have been many attempts to predict First Etf prices using its time series forecasting, we generally do not suggest 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).

Etf Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates First Trust's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 30.18 and upside near 31.46.
Market Value
30.19
30.82
Expected Value
31.46
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of First Trust etf data series using in forecasting. Note that when a statistical model is used to represent First Trust etf, 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 Criteria116.7775
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4971
MAPEMean absolute percentage error0.0162
SAESum of the absolute errors30.3252
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as First Trust AlphaDEX historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for First Trust

The price trajectory of First is the primary concern for any investor assessing it as an opportunity. First Etf price charts are filled with noise that can easily mislead uninformed investment decisions.

First Trust Related Equities

The following equities are related to First Trust within the FT Portfolios Canada Co space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing First Trust against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

First Trust Market Strength Events

Understanding the market strength of First Trust etf enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in First Trust AlphaDEX with greater precision.

First Trust Risk Indicators

Reviewing First Trust's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding First Trust's and informs decisions about hedging and position.
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.

Story Coverage note for First Trust

A coverage review of First Trust AlphaDEX helps investors see when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.

More Resources for First Etf Analysis

Other Information on Investing in First Etf

Financial ratios for First Trust provide valuation context across profits, cash flow, and enterprise value. They help compare First to other measures in a consistent way.