PNC BALANCED Mutual Fund Forward View - Simple Moving Average

PBLIX Fund  USD 14.89  -0.30  -1.97%   
The Simple Moving Average forecast shown here for PNC BALANCED is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Moving Average output serves as one input among many for analytical review.
The Simple Moving Average forecasted value of Pnc Balanced Allocation on the next trading day is expected to be 14.89 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 5.99.The simple moving average model is conceptually a linear regression of the current value of Pnc Balanced Allocation price series against current and previous (unobserved) value of PNC BALANCED. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average reference page for PNC BALANCED presents model-generated projections from historical price data for informational purposes.
A two period moving average forecast for PNC BALANCED is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Simple Moving Average Price Forecast For the 24th of March

Given 90 days horizon, the Simple Moving Average forecasted value of Pnc Balanced Allocation on the next trading day is expected to be 14.89 with a mean absolute deviation of 0.10 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 5.99 .
Please note that although there have been many attempts to predict PNC 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 PNC BALANCED'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 Pnc Balanced Allocation uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The current forecast range spans downside near 14.12 and upside near 15.66.
Market Value
14.89
14.89
Expected Value
15.66
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of PNC BALANCED mutual fund data series using in forecasting. Note that when a statistical model is used to represent PNC BALANCED 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 Criteria110.4107
BiasArithmetic mean of the errors 0.0129
MADMean absolute deviation0.1015
MAPEMean absolute percentage error0.0065
SAESum of the absolute errors5.99
The simple moving average model is conceptually a linear regression of the current value of Pnc Balanced Allocation price series against current and previous (unobserved) value of PNC BALANCED. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Other Forecasting Options for PNC BALANCED

The distribution of PNC BALANCED's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in PNC BALANCED's chart that simple price charts miss. The slope of PNC BALANCED's linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in PNC.

PNC BALANCED Related Equities

Sizing up PNC BALANCED against these stocks within the Target-Date 2065+ space shows how it compares on key financial measures. Return on equity across these peers shows how well each firm turns capital into profit. A stock that beats its peers on many metrics often deserves a closer look from value-focused investors. Use these checks as a starting point for deeper study of PNC BALANCED's strengths and weak spots.
 Risk & Return  Correlation

PNC BALANCED Market Strength Events

Market strength indicators for PNC BALANCED give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Pnc Balanced Allocation. Market strength analysis for Pnc Balanced Allocation works best when combined with volume and volatility data. For PNC BALANCED, strength indicators are a practical complement to price and fundamental analysis.

PNC BALANCED Risk Indicators

A thorough review of PNC BALANCED's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in PNC BALANCED's allows investors to make better decisions about entry, sizing, and hedging. The assessment of PNC BALANCED's risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in PNC BALANCED's provides context to choose between accepting or hedging 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 PNC BALANCED

Coverage intensity for Pnc Balanced Allocation matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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