Fidelity Select Mutual Fund Forward View - Double Exponential Smoothing
| FSENX Fund | USD 85.27 1.84 2.21% |
This reference page presents Double Exponential Smoothing forecast data for Fidelity Select Portfolios. The projected values and error metrics are presented below as reference information. The output values and deviation metrics are provided for informational reference.
The Double Exponential Smoothing forecasted value of Fidelity Select Portfolios on the next trading day is expected to be 85.99 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 44.21.When Fidelity Select Portfolios prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Fidelity Select Portfolios trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Fidelity Select observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Fidelity Select Portfolios is sourced from the most recent available trading data and is intended solely as reference information. Double Exponential Smoothing Price Forecast For the 26th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Fidelity Select Portfolios on the next trading day is expected to be 85.99 with a mean absolute deviation of 0.74 , mean absolute percentage error of 0.75 , and the sum of the absolute errors of 44.21 .Please note that although there have been many attempts to predict Fidelity 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 Fidelity Select's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Fidelity Select | Fidelity Select Price Prediction | Research Analysis |
Forecasted Value
Forecasting Fidelity Select Portfolios for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Fidelity Select mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fidelity Select 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.1266 |
| MAD | Mean absolute deviation | 0.7369 |
| MAPE | Mean absolute percentage error | 0.0102 |
| SAE | Sum of the absolute errors | 44.2142 |
Other Forecasting Options for Fidelity Select
Fidelity Select's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Fidelity often signals an upcoming reversal or acceleration. Gap analysis of Fidelity Mutual Fund data examines overnight jumps between Fidelity Select's closing and opening prices.Fidelity Select Related Equities
Fidelity Select's market space within the Equity Energy space is best grasped by looking at the firms listed below. Checking cash flow across this peer set helps gauge Fidelity Select's relative financial strength. How Fidelity Select ranks within this group can shift over time as the competitive picture changes.
| Risk & Return | Correlation |
Fidelity Select Market Strength Events
Market strength indicators help investors evaluate how Fidelity Select mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Fidelity Select Portfolios. These indicators can identify periods when trading Fidelity Select Portfolios may offer more favorable risk-reward conditions.
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 85.27 | |||
| Day Typical Price | 85.27 | |||
| Price Action Indicator | 0.92 | |||
| Period Momentum Indicator | 1.84 |
Fidelity Select Risk Indicators
The analysis of Fidelity Select's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding Fidelity Select's allows investors to make informed decisions about their exposure. The analysis of Fidelity Select's basic risk metrics provides a foundation for managing investment risk.
| Mean Deviation | 0.9552 | |||
| Semi Deviation | 0.3017 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.46 | |||
| Downside Variance | 0.9584 | |||
| Semi Variance | 0.091 | |||
| Expected Short fall | -1.21 |
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 Fidelity Select
A coverage review of Fidelity Select Portfolios shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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.