ALGER SMALLCAP Mutual Fund Forward View

ASCZX Fund  USD 11.10  -0.16  -1.42%   
This reference page presents Naive Prediction forecast data for Alger Smallcap Growth. The model output shown here is derived from ALGER SMALLCAP's historical price series and is provided for informational purposes.
The Naive Prediction forecasted value of Alger Smallcap Growth on the next trading day is expected to be 10.63 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.98.This model is not at all useful as a medium-long range forecasting tool of Alger Smallcap Growth. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict ALGER SMALLCAP. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. This Naive Prediction forecast data for Alger Smallcap Growth is sourced from the most recent available trading data and is intended solely as reference information.
A naive forecasting model for ALGER SMALLCAP is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Alger Smallcap Growth value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Naive Prediction Price Forecast For the 20th of March

Given 90 days horizon, the Naive Prediction forecasted value of Alger Smallcap Growth on the next trading day is expected to be 10.63 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 10.98 .
Please note that although there have been many attempts to predict ALGER 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 ALGER SMALLCAP'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 Alger Smallcap Growth for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 9.06 and upside around 12.20 for the forecasting period.
Market Value
11.10
10.63
Expected Value
12.20
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of ALGER SMALLCAP mutual fund data series using in forecasting. Note that when a statistical model is used to represent ALGER SMALLCAP 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 Criteria116.9285
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1771
MAPEMean absolute percentage error0.0148
SAESum of the absolute errors10.9811
This model is not at all useful as a medium-long range forecasting tool of Alger Smallcap Growth. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict ALGER SMALLCAP. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Other Forecasting Options for ALGER SMALLCAP

For every potential investor in ALGER, whether a beginner or expert, ALGER SMALLCAP's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.

ALGER SMALLCAP Related Equities

The following equities are related to ALGER SMALLCAP within the Small Growth space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing ALGER SMALLCAP 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

ALGER SMALLCAP Market Strength Events

Market strength indicators help investors to evaluate how ALGER SMALLCAP mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ALGER SMALLCAP shares will generate the highest return on.

ALGER SMALLCAP Risk Indicators

The analysis of ALGER SMALLCAP's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in ALGER SMALLCAP's investment and either accepting that risk or mitigating it.
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 ALGER SMALLCAP

A coverage review of Alger Smallcap Growth helps investors see when the security is attracting above-average attention from contributors and market observers. The practical risk is that faster visibility can increase both interest and skepticism at the same time.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.