FIDELITY SMALL Mutual Fund Forward View - Simple Regression

FCPVX Fund  USD 20.51  0.10  0.49%   
This reference page covers Simple Regression forecast output for Fidelity Small Cap, including the projected price and deviation metrics. The model is fitted to available historical daily prices.
The Simple Regression forecasted value of Fidelity Small Cap on the next trading day is expected to be 21.54 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 29.87.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 Fidelity Small Cap 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 forecast values on this page for Fidelity Small Cap are Simple Regression reference data derived from historical price series.
Simple Regression model is a single variable regression model that attempts to put a straight line through FIDELITY SMALL 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 Fidelity Small Cap on the next trading day is expected to be 21.54 with a mean absolute deviation of 0.48 , mean absolute percentage error of 0.32 , and the sum of the absolute errors of 29.87 .
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 SMALL'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 SMALL  FIDELITY SMALL Price Prediction  Research Analysis  

Forecasted Value

Forecasting Fidelity Small Cap 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.
Market Value
20.51
21.54
Expected Value
22.55
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 FIDELITY SMALL mutual fund data series using in forecasting. Note that when a statistical model is used to represent FIDELITY SMALL 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.
AICAkaike Information Criteria118.8041
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4818
MAPEMean absolute percentage error0.0229
SAESum of the absolute errors29.8731
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 Fidelity Small Cap 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 FIDELITY SMALL

Price movement is the most critical factor for any investor assessing the potential of FIDELITY as an investment. The noise inherent in FIDELITY Mutual Fund price charts can obscure the underlying direction and make investment decisions more challenging.

FIDELITY SMALL Related Equities

The following equities are related to FIDELITY SMALL within the Small Value space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing FIDELITY SMALL 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

FIDELITY SMALL Market Strength Events

For investors in Fidelity Small Cap, market strength indicators provide essential context about how the mutual fund responds to prevailing market trends. These tools support more informed decisions about when to trade FIDELITY SMALL for maximum effect.

FIDELITY SMALL Risk Indicators

Identifying and analyzing FIDELITY SMALL's risk indicators provides investors with important context for price forecasting and investment decision-making. By understanding how much risk is embedded in FIDELITY SMALL's investment, investors can make better choices about position sizing,.
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 SMALL

The amount of media and story coverage tied to Fidelity Small Cap can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.

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.