PRUDENTIAL UTILITY Mutual Fund Forward View - Triple Exponential Smoothing

PRUZX Fund  USD 15.81  0.13  0.83%   
This reference page presents Triple Exponential Smoothing forecast data for Prudential Utility Fund. The projected values and error metrics are presented below as reference information.
The Triple Exponential Smoothing forecasted value of Prudential Utility Fund on the next trading day is expected to be 15.79 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.49.As with simple exponential smoothing, in triple exponential smoothing models past PRUDENTIAL UTILITY observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Prudential Utility Fund observations. This Triple Exponential Smoothing forecast data for Prudential Utility Fund is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for PRUDENTIAL UTILITY - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When PRUDENTIAL UTILITY 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 trend in PRUDENTIAL UTILITY price movement. However, neither of these exponential smoothing models address any seasonality of Prudential Utility.

Triple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Prudential Utility Fund on the next trading day is expected to be 15.79 with a mean absolute deviation of 0.14 , mean absolute percentage error of 0.04 , and the sum of the absolute errors of 8.49 .
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

The next-day forecast for Prudential Utility Fund focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The current forecast range spans downside near 14.61 and upside near 16.97.
Market Value
15.81
15.79
Expected Value
16.97
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0325
MADMean absolute deviation0.1415
MAPEMean absolute percentage error0.0091
SAESum of the absolute errors8.49
As with simple exponential smoothing, in triple exponential smoothing models past PRUDENTIAL UTILITY observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Prudential Utility Fund observations.

Other Forecasting Options for PRUDENTIAL UTILITY

PRUDENTIAL UTILITY's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in PRUDENTIAL often signals an upcoming reversal or acceleration.

PRUDENTIAL UTILITY Related Equities

These stocks are related to PRUDENTIAL UTILITY within the Utilities space and can be used for peer review, pricing, or spreading risk. Return on equity across these peers shows how well each firm turns capital into profit. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into.
 Risk & Return  Correlation

PRUDENTIAL UTILITY Market Strength Events

Market strength indicators help investors evaluate how PRUDENTIAL UTILITY mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Prudential Utility Fund.

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. Understanding the risk involved in holding PRUDENTIAL UTILITY's allows investors to make informed decisions about 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 PRUDENTIAL UTILITY

Coverage intensity for Prudential Utility Fund matters because narrative visibility can influence sentiment, participation, and volatility around the name. A disciplined read of coverage separates durable relevance from temporary noise.

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.