UTILITIES FUND Mutual Fund Forward View - Polynomial Regression

RYUIX Fund  USD 71.33  0.66  0.93%   
Using the latest data, the relative strength index (RSI) for UTILITIES FUND is 0, signaling extreme oversold conditions. Readings below 20 are commonly associated with potential stabilization zones.
Momentum
Sell Peaked
 
Oversold
 
Overbought
Forecasting UTILITIES FUND stock price is inherently uncertain, but structured approaches to analyzing market sentiment can improve the odds. This module tracks the noise around Utilities Fund Investor to identify periods where price and perception diverge.
The hype perspective for Utilities Fund Investor maps headline activity to recent price response and peer coverage.
The Polynomial Regression forecasted value of Utilities Fund Investor on the next trading day is expected to be 71.38 with a mean absolute deviation of 0.70 and the sum of the absolute errors of 43.32.
UTILITIES FUND after-hype prediction price
    
  $ 71.33  
Sentiment metrics here complement forecasting and technical views with analyst and earnings context.
  
Historical Fundamental Analysis of UTILITIES FUND can be used to cross-verify projections for UTILITIES FUND. The view provides historical context for the projection set.

UTILITIES FUND Additional Predictive Modules

Most predictive techniques to examine UTILITIES price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for UTILITIES using various technical indicators. When you analyze UTILITIES charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
UTILITIES FUND polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Utilities Fund Investor as well as the accuracy indicators are determined from the period prices.

Polynomial Regression Price Forecast For the 15th of March 2026

Given 90 days horizon, the Polynomial Regression forecasted value of Utilities Fund Investor on the next trading day is expected to be 71.38 with a mean absolute deviation of 0.70 , mean absolute percentage error of 0.74 , and the sum of the absolute errors of 43.32 .
Please note that although there have been many attempts to predict UTILITIES 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 UTILITIES FUND's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest UTILITIES FUND  UTILITIES FUND Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for Utilities Fund Investor uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. 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
71.33
71.38
Expected Value
72.22
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of UTILITIES FUND mutual fund data series using in forecasting. Note that when a statistical model is used to represent UTILITIES FUND 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 Criteria119.6469
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6987
MAPEMean absolute percentage error0.0103
SAESum of the absolute errors43.3208
A single variable polynomial regression model attempts to put a curve through the UTILITIES FUND historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm
The mean reversion principle applied to UTILITIES FUND's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
Hype
Prediction
LowEstimatedHigh
70.4971.3372.17
Details
Intrinsic
Valuation
LowRealHigh
64.2074.4875.32
Details
Bollinger
Band Projection (param)
LowMiddleHigh
68.1570.7373.31
Details
Peer comparison enriches UTILITIES FUND analysis by revealing how the company ranks against competitors on key metrics. This relative perspective often changes investment conclusions drawn from standalone fundamental analysis.

After-Hype Price Density Analysis

Probability distributions applied to UTILITIES FUND price forecasting provide a more honest representation of uncertainty than single point estimates. The shape of UTILITIES FUND's distribution - whether it is symmetric, skewed, or fat-tailed - carries important information for risk.
   Next price density   
       Expected price to next headline  

Estimiated After-Hype Price Volatility

News-driven price analysis for UTILITIES FUND quantifies the historical relationship between headline events and UTILITIES FUND's short-term price response. UTILITIES FUND's after-hype downside and upside margins for the prediction period are 70.49 and 72.17, respectively. The strength of this signal depends on the consistency of UTILITIES FUND's past reactions to comparable news categories.
Current Value
71.33
71.33
After-hype Price
72.17
Upside
The after-hype framework applied to Utilities Fund Investor assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.

Price Outlook Analysis

Have you ever been surprised when a price of a Mutual Fund such as UTILITIES FUND is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading UTILITIES FUND backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with UTILITIES FUND, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.14 
0.84
  0.13 
  0.36 
1 Events
2 Events
Very soon
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
71.33
71.33
0.00 
92.31  
Notes

Hype Timeline

Utilities Fund Investor is at this time traded for 71.33. The fund has historical hype elasticity of -0.13, and average elasticity to hype of competition of -0.36. UTILITIES is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 92.31%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.14%. %. The volatility of related hype on UTILITIES FUND is about 32.99%, with the expected price after the next announcement by competition of 70.97. The fund has price-to-book ratio of 1.64. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Utilities Fund Investor last dividend was issued on the 11th of December 2019. Assuming a 90-day horizon the next forecasted press release will be very soon.
Historical Fundamental Analysis of UTILITIES FUND can be used to cross-verify projections for UTILITIES FUND. The view provides historical context for the projection set.

Related Hype Analysis

When a direct competitor of UTILITIES FUND experiences a significant news event, the market often re-rates UTILITIES FUND's shares in sympathy or in contrast, depending on whether the news affects the sector broadly or competitively.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
CVLEXCullen Value Fund 0.07 1 per month 0.64 0.17 1.28 -1.42 4.06
RYBIXBasic Materials Fund 0.05 3 per month 1.90 0.19 2.61 -3.65 13.81
RYBAXBasic Materials Fund 0.58 1 per month 1.90 0.19 2.61 -3.65 15.43
MUNDXMundoval Fund Mundoval 0.35 1 per month 0.00 -0.02 0.91 -1.21 3.59
RSJNFirst Trust Exchange Traded-0.06 6 per month 0.40 0.12 0.61 -0.76 1.85
RYBMXBasic Materials Fund-22.00 9 per month 1.84 0.20 2.60 -3.65 14.95
AFALXApplied Finance Core 0.00 0 per month 0.52 0.15 1.06 -1.00 3.13
TGFRXTanaka Growth Fund 0.14 1 per month 0.00 -0.02 2.57 -3.78 9.39
ADVGXAdvisory Research All-4.55 10 per month 1.11 0.08 2.36 -2.01 8.33
PCIGLitman Gregory Funds-0.04 3 per month 0.00 -0.11 1.57 -2.02 7.04

Other Forecasting Options for UTILITIES FUND

Regardless of investment experience, understanding UTILITIES FUND's price movement is essential for anyone considering a position in UTILITIES. Price charts for UTILITIES Mutual Fund are often filled with noise that can lead to poor investment choices if not properly filtered.

UTILITIES FUND Related Equities

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

UTILITIES FUND Market Strength Events

Market strength indicators for UTILITIES FUND give investors insight into the mutual fund's responsiveness to broader market forces. Tracking these indicators helps investors make informed timing decisions and identify periods where trading UTILITIES FUND is likely to be most rewarding.

UTILITIES FUND Risk Indicators

A thorough review of UTILITIES FUND's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis helps investors determine the appropriate level of risk to accept when holding UTILITIES FUND's.
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 UTILITIES FUND

Coverage intensity for Utilities Fund Investor matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Other Macroaxis Stories

Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.