RETAILING PORTFOLIO Mutual Fund Forward View - Simple Regression

FSRPX Fund  USD 17.69  0.06  0.34%   
This Simple Regression reference page for Retailing Portfolio Retailing presents model-generated forecast data based on historical daily prices. The output values and deviation metrics are provided for informational reference.
The Simple Regression forecasted value of Retailing Portfolio Retailing on the next trading day is expected to be 18.21 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 22.39.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 Retailing Portfolio Retailing 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 Retailing Portfolio Retailing are reference data reflecting model output based on available historical prices.
Simple Regression model is a single variable regression model that attempts to put a straight line through RETAILING PORTFOLIO 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 Retailing Portfolio Retailing on the next trading day is expected to be 18.21 with a mean absolute deviation of 0.36 , mean absolute percentage error of 0.18 , and the sum of the absolute errors of 22.39 .
Please note that although there have been many attempts to predict RETAILING 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 RETAILING PORTFOLIO's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest RETAILING PORTFOLIO  RETAILING PORTFOLIO Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for Retailing Portfolio Retailing uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The current forecast range spans downside near 17.30 and upside near 19.12.
Market Value
17.69
18.21
Expected Value
19.12
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 RETAILING PORTFOLIO mutual fund data series using in forecasting. Note that when a statistical model is used to represent RETAILING PORTFOLIO 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 Criteria118.2161
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3611
MAPEMean absolute percentage error0.0197
SAESum of the absolute errors22.3885
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 Retailing Portfolio Retailing 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 RETAILING PORTFOLIO

Price movement is the most fundamental factor that determines whether RETAILING is a viable investment for any investor. RETAILING Mutual Fund price charts are often noisy, making it difficult to identify meaningful patterns without analytical tools.

RETAILING PORTFOLIO Related Equities

The following equities are related to RETAILING PORTFOLIO within the Consumer Cyclical space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing RETAILING PORTFOLIO 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

RETAILING PORTFOLIO Market Strength Events

Assessing the market strength of RETAILING PORTFOLIO mutual fund provides investors with a clearer picture of how the security reacts to evolving market dynamics. These indicators can be used to identify periods when trading Retailing Portfolio Retailing is most likely to be profitable.

RETAILING PORTFOLIO Risk Indicators

The analysis of RETAILING PORTFOLIO's basic risk metrics provides a foundation for forecasting its future price and managing investment risk. Identifying the magnitude of risk in RETAILING PORTFOLIO's helps investors choose between accepting or hedging their exposure.
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 RETAILING PORTFOLIO

The amount of media and story coverage tied to Retailing Portfolio Retailing 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.