First Trust ETF Forward View - Simple Regression
| ETP ETF | CAD 18.40 0.09 0.49% |
First Trust Global's Simple Regression reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Simple Regression forecasted value of First Trust Global on the next trading day is expected to be 18.64 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.14.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 Global historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. All Simple Regression forecast figures shown for First Trust Global are reference data reflecting model output based on available historical prices. Simple Regression Price Forecast For the 28th of March
Given 90 days horizon, the Simple Regression forecasted value of First Trust Global on the next trading day is expected to be 18.64 with a mean absolute deviation of 0.10 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.14 .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. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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.| AIC | Akaike Information Criteria | 113.9781 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1007 |
| MAPE | Mean absolute percentage error | 0.0054 |
| SAE | Sum of the absolute errors | 6.1446 |
Other Forecasting Options for First Trust
Bollinger Bands applied to First ETF price data measure how far First has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to First Trust's price data.First Trust Related Equities
Checking First Trust against related firms within the Global Fixed Income Balanced space helps investors see where the stock stands among peers. Market cap and total value checks frame First Trust's size within the competitive field.
| Risk & Return | Correlation |
First Trust Market Strength Events
For investors tracking First Trust Global, market strength indicators offer quantitative evaluation of ETF behavior. These indicators add context to timing decisions around First Trust Global positions.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 18.4 | |||
| Day Typical Price | 18.4 | |||
| Price Action Indicator | 0.045 | |||
| Period Momentum Indicator | 0.09 | |||
| Relative Strength Index | 46.22 |
First Trust Risk Indicators
Analyzing First Trust's basic risk indicators provides investors with a structured view of the risk-return trade-off for first etf. By identifying the level of risk embedded in First Trust's investment, investors can make informed decisions about position sizing.
| Mean Deviation | 0.2285 | |||
| Semi Deviation | 0.2789 | |||
| Standard Deviation | 0.3014 | |||
| Variance | 0.0909 | |||
| Downside Variance | 0.1243 | |||
| Semi Variance | 0.0778 | |||
| Expected Short fall | -0.24 |
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 Global shows 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 story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
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More Resources for First ETF Analysis
A baseline understanding of First Trust Global is formed through its holdings, costs, and return trends. Fund metrics provide structure to performance, cost, and holdings analysis.The Historical Fundamental Analysis of First Trust dataset supports cross-verification of projections for First Trust.First Trust information on this page supports broader portfolio research rather than acting as a stand-alone signal. The supplemental views below help investors decide how First Trust complements or overlaps with existing portfolio holdings. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.