FIRST TRUST Mutual Fund Forward View - Polynomial Regression
| FDHIX Fund | USD 17.60 -0.05 -0.28% |
The Polynomial Regression forecast shown here for FIRST TRUST is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Polynomial Regression forecasted value of First Trust Short on the next trading day is expected to be 17.66 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.70.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 This Polynomial Regression reference page for FIRST TRUST presents model-generated projections from historical price data for informational purposes. Polynomial Regression Price Forecast For the 22nd of March
Given 90 days horizon, the Polynomial Regression forecasted value of First Trust Short on the next trading day is expected to be 17.66 with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.0012 , and the sum of the absolute errors of 1.70 .Please note that although there have been many attempts to predict FIRST Mutual Fund 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).
Mutual Fund Forecast Pattern
| Backtest FIRST TRUST | FIRST TRUST Price Prediction | Research Analysis |
Forecasted Value
Forecasting First Trust Short for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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.| AIC | Akaike Information Criteria | 111.3609 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0278 |
| MAPE | Mean absolute percentage error | 0.0016 |
| SAE | Sum of the absolute errors | 1.6965 |
Other Forecasting Options for FIRST TRUST
Regardless of investment experience, understanding FIRST TRUST's price movement is essential for anyone considering a position in FIRST. Price charts for FIRST Mutual Fund are often filled with noise that can lead to poor investment choices if not properly filtered.FIRST TRUST Related Equities
The following equities are related to FIRST TRUST within the Bank Loan 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
Market strength indicators for FIRST TRUST give investors insight into the mutual fund's responsiveness to broader market forces. Tracking these indicators provides context to make informed timing decisions and identify periods where trading FIRST TRUST is likely to be most rewarding.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 17.6 | |||
| Day Typical Price | 17.6 | |||
| Price Action Indicator | -0.03 | |||
| Period Momentum Indicator | -0.05 |
FIRST TRUST Risk Indicators
A thorough review of FIRST TRUST's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis provides context for determining the appropriate level of risk to accept when holding FIRST TRUST's.
| Mean Deviation | 0.1193 | |||
| Standard Deviation | 0.1673 | |||
| Variance | 0.028 |
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
Story coverage around First Trust Short often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. 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.