AB VALUE Mutual Fund Forward View - Double Exponential Smoothing
| ABVCX Fund | USD 19.02 0.16 0.85% |
Ab Value Fund's Double Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for AB VALUE. This page is updated as new daily closing prices become available for AB VALUE.
The Double Exponential Smoothing forecasted value of Ab Value Fund on the next trading day is expected to be 18.93 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.88.When Ab Value Fund 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 Ab Value Fund trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent AB VALUE observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for Ab Value Fund are reference data reflecting model output based on available historical prices. Double Exponential Smoothing Price Forecast For the 25th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Ab Value Fund on the next trading day is expected to be 18.93 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.88 .Please note that although there have been many attempts to predict ABVCX 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 AB VALUE'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
Forecasting Ab Value Fund for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 18.12 and upside near 19.75.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of AB VALUE mutual fund data series using in forecasting. Note that when a statistical model is used to represent AB VALUE 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0232 |
| MAD | Mean absolute deviation | 0.1146 |
| MAPE | Mean absolute percentage error | 0.0059 |
| SAE | Sum of the absolute errors | 6.8772 |
Other Forecasting Options for AB VALUE
Bollinger Bands applied to ABVCX Mutual Fund price data measure how far ABVCX has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to AB VALUE's price data. On-balance volume for ABVCX Mutual Fund creates a running indicator of buying versus selling pressure in ABVCX. Price departures from the channel boundary often mean-revert, offering tactical signals for AB VALUE's.AB VALUE Related Equities
Checking AB VALUE against related firms within the Large Value space helps investors see where the stock stands among peers. Profit comparisons show whether AB VALUE earns above or below average returns next to its peers. How AB VALUE ranks within this group can shift over time as the competitive picture changes.
| Risk & Return | Correlation |
AB VALUE Market Strength Events
For investors tracking Ab Value Fund, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around Ab Value Fund positions. These indicators capture shifts in momentum that may precede significant price moves in AB VALUE. These metrics provide actionable context for both entry and risk management decisions around Ab Value Fund.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 19.02 | |||
| Day Typical Price | 19.02 | |||
| Price Action Indicator | 0.08 | |||
| Period Momentum Indicator | 0.16 | |||
| Relative Strength Index | 43.97 |
AB VALUE Risk Indicators
Analyzing AB VALUE's basic risk indicators provides investors with a structured view of the risk-return trade-off for abvcx mutual fund. By identifying the level of risk embedded in AB VALUE's investment, investors can make informed decisions about position sizing. Analyzing AB VALUE's risk indicators gives investors important context for price forecasting. Understanding the risk in AB VALUE's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 0.6061 | |||
| Semi Deviation | 0.7049 | |||
| Standard Deviation | 0.7846 | |||
| Variance | 0.6156 | |||
| Downside Variance | 0.6806 | |||
| Semi Variance | 0.4969 | |||
| Expected Short fall | -0.66 |
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 AB VALUE
The amount of media and story coverage tied to Ab Value Fund can signal where market attention is concentrating at the moment. 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.