Prudential Balanced Mutual Fund Forward View - Simple Moving Average
| PIBQX Fund | USD 18.05 -0.25 -1.37% |
Prudential Balanced's Simple Moving Average reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection. Projected values and error measures are included as reference material.
The Simple Moving Average forecasted value of Prudential Balanced on the next trading day is expected to be 18.05 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.10.The simple moving average model is conceptually a linear regression of the current value of Prudential Balanced price series against current and previous (unobserved) value of Prudential 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 Prudential Balanced's Simple Moving Average reference data is provided for informational and analytical purposes and does not constitute a trading recommendation. Simple Moving Average Price Forecast For the 24th of March
Given 90 days horizon, the Simple Moving Average forecasted value of Prudential Balanced on the next trading day is expected to be 18.05 with a mean absolute deviation of 0.09 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 5.10 .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 Balanced's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Prudential Balanced | Prudential Balanced Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates Prudential Balanced's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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 Prudential Balanced mutual fund data series using in forecasting. Note that when a statistical model is used to represent Prudential 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.| AIC | Akaike Information Criteria | 110.065 |
| Bias | Arithmetic mean of the errors | 0.0123 |
| MAD | Mean absolute deviation | 0.0865 |
| MAPE | Mean absolute percentage error | 0.0046 |
| SAE | Sum of the absolute errors | 5.105 |
Other Forecasting Options for Prudential Balanced
Analyzing Prudential Balanced's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Prudential Balanced's chart can signal overbought or oversold conditions. The rate of change in Prudential Balanced's trading volume often precedes price movements in Prudential.Prudential Balanced Related Equities
Investors studying Prudential Balanced often look at related stocks within the Allocation--50% to 70% Equity space to gauge pricing and results. Profit comparisons show whether Prudential Balanced earns above or below average returns next to its peers. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. The peer review below gives a clear framework for judging Prudential Balanced's standing among rivals.
| Risk & Return | Correlation |
Prudential Balanced Market Strength Events
Market strength indicators for Prudential Balanced mutual fund provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade Prudential Balanced. Using these indicators, traders can refine their timing when entering or exiting positions in Prudential Balanced.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 18.05 | |||
| Day Typical Price | 18.05 | |||
| Price Action Indicator | -0.12 | |||
| Period Momentum Indicator | -0.25 | |||
| Relative Strength Index | 36.69 |
Prudential Balanced Risk Indicators
Assessing Prudential Balanced's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting Prudential Balanced's future price accurately requires understanding and quantifying the risks present in the investment. Evaluating Prudential Balanced's risk indicators is an important step in assessing the suitability of an investment.
| Mean Deviation | 0.4185 | |||
| Standard Deviation | 0.5451 | |||
| Variance | 0.2972 |
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 Balanced
A coverage review of Prudential Balanced shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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.