FINANCIAL INDUSTRIES Mutual Fund Forward View - Simple Exponential Smoothing
| FIDAX Fund | USD 12.24 -0.11 -0.89% |
This reference page presents Simple Exponential Smoothing forecast data for Financial Industries Fund. The model output shown here is derived from FINANCIAL INDUSTRIES's historical price series and is provided for informational purposes.
The Simple Exponential Smoothing forecasted value of Financial Industries Fund on the next trading day is expected to be 12.24 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.63.This simple exponential smoothing model begins by setting Financial Industries Fund forecast for the second period equal to the observation of the first period. In other words, recent FINANCIAL INDUSTRIES observations are given relatively more weight in forecasting than the older observations. This Simple Exponential Smoothing forecast data for Financial Industries Fund is sourced from the most recent available trading data and is intended solely as reference information. Simple Exponential Smoothing Price Forecast For the 20th of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Financial Industries Fund on the next trading day is expected to be 12.24 with a mean absolute deviation of 0.13 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 7.63 .Please note that although there have been many attempts to predict FINANCIAL 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 FINANCIAL INDUSTRIES's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest FINANCIAL INDUSTRIES | FINANCIAL INDUSTRIES Price Prediction | Research Analysis |
Forecasted Value
Forecasting Financial Industries Fund for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 11.03 and upside near 13.45.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of FINANCIAL INDUSTRIES mutual fund data series using in forecasting. Note that when a statistical model is used to represent FINANCIAL INDUSTRIES 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 | 112.6691 |
| Bias | Arithmetic mean of the errors | 0.0245 |
| MAD | Mean absolute deviation | 0.1272 |
| MAPE | Mean absolute percentage error | 0.0095 |
| SAE | Sum of the absolute errors | 7.63 |
Other Forecasting Options for FINANCIAL INDUSTRIES
For every potential investor in FINANCIAL, whether a beginner or expert, FINANCIAL INDUSTRIES's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.FINANCIAL INDUSTRIES Related Equities
The following equities are related to FINANCIAL INDUSTRIES within the Financial space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing FINANCIAL INDUSTRIES 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 |
FINANCIAL INDUSTRIES Market Strength Events
Market strength indicators help investors to evaluate how FINANCIAL INDUSTRIES 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 FINANCIAL INDUSTRIES shares will generate the highest return on.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 12.24 | |||
| Day Typical Price | 12.24 | |||
| Price Action Indicator | -0.06 | |||
| Period Momentum Indicator | -0.11 | |||
| Relative Strength Index | 35.28 |
FINANCIAL INDUSTRIES Risk Indicators
The analysis of FINANCIAL INDUSTRIES'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 FINANCIAL INDUSTRIES's investment and either accepting that risk or mitigating it.
| Mean Deviation | 0.9363 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.46 |
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 FINANCIAL INDUSTRIES
A coverage review of Financial Industries Fund 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.
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