PRUDENTIAL UTILITY Mutual Fund Forward View - Simple Regression

PRUZX Fund  USD 16.34  -0.04  -0.24%   
This reference page presents Simple Regression forecast data for Prudential Utility Fund. The model output shown here is derived from PRUDENTIAL UTILITY's historical price series and is provided for informational purposes.
The Simple Regression forecasted value of Prudential Utility Fund on the next trading day is expected to be 16.66 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 17.00.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 Prudential Utility Fund historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression forecast data for Prudential Utility Fund is sourced from the most recent available trading data and is intended solely as reference information.
Simple Regression model is a single variable regression model that attempts to put a straight line through PRUDENTIAL UTILITY 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 21st of March

Given 90 days horizon, the Simple Regression forecasted value of Prudential Utility Fund on the next trading day is expected to be 16.66 with a mean absolute deviation of 0.27 , mean absolute percentage error of 0.10 , and the sum of the absolute errors of 17.00 .
Please note that although there have been many attempts to predict PRUDENTIAL 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 PRUDENTIAL UTILITY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

This next-day forecast for Prudential Utility Fund uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
16.34
16.66
Expected Value
17.61
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 PRUDENTIAL UTILITY mutual fund data series using in forecasting. Note that when a statistical model is used to represent PRUDENTIAL UTILITY 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 Criteria117.6775
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2742
MAPEMean absolute percentage error0.0175
SAESum of the absolute errors17.001
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 Prudential Utility Fund 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 PRUDENTIAL UTILITY

For every potential investor in PRUDENTIAL, whether a beginner or expert, PRUDENTIAL UTILITY's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.

PRUDENTIAL UTILITY Related Equities

The following equities are related to PRUDENTIAL UTILITY within the Utilities space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing PRUDENTIAL UTILITY 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

PRUDENTIAL UTILITY Market Strength Events

Market strength indicators help investors to evaluate how PRUDENTIAL UTILITY 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 PRUDENTIAL UTILITY shares will generate the highest return on.

PRUDENTIAL UTILITY Risk Indicators

The analysis of PRUDENTIAL UTILITY'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 PRUDENTIAL UTILITY's investment and either accepting that risk or mitigating it.
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 PRUDENTIAL UTILITY

Story coverage around Prudential Utility Fund often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.

Other Macroaxis Stories

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