ALGER RESPONSIBLE Mutual Fund Forward View

AGIFX Fund  USD 21.97  0.58  2.71%   
ALGER RESPONSIBLE's Naive Prediction forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The Naive Prediction model projects ALGER RESPONSIBLE at 21.21 for the next trading day, below the most recent closing price. The Naive Prediction output reflects statistical model results and is provided for reference purposes.
A naive forecasting model for ALGER RESPONSIBLE is a special case of the moving average where the smoothing period is one. The forecast for Alger Responsible Investing on a given trading day is simply the observed closing price of the previous period. Because it uses only a single lag, this model is limited to one-period-ahead forecasts.

Naive Prediction Price Forecast For the 8th of May

Over a 90-day horizon, the Naive Prediction model forecasts ALGER RESPONSIBLE at 21.21 for the next trading day, with a mean absolute deviation of 0.25 , mean absolute percentage error of 0.01 , and sum of absolute errors of 15.29 .
This represents a very tight forecast — the model closely tracks ALGER RESPONSIBLE's recent price behavior. This output is intended for short-term analytical reference.

Mutual Fund Forecast Pattern

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Forecasted Value

This forecast for ALGER RESPONSIBLE frames the expected trading range using downside and upside bounds rather than a single point target. The model places downside around 19.93 and upside around 22.50 for the next session. The wide range indicates elevated uncertainty in short-term projections.
Market Value
21.97
21.21
Expected Value
22.50

Model Predictive Factors

The table below summarizes the Naive Prediction model's error metrics for ALGER RESPONSIBLE mutual fund. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria115.779
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2506
MAPEMean absolute percentage error0.0127
SAESum of the absolute errors15.2874
The naive model produces a tight forecast range but offers no smoothing of noise or trend detection. It serves primarily as a baseline benchmark — if a more complex model cannot outperform the naive forecast, it may indicate that ALGER RESPONSIBLE price movements are largely random over the selected horizon.

Other Forecasting Options for ALGER RESPONSIBLE

Analyzing ALGER RESPONSIBLE'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 ALGER RESPONSIBLE's chart signal overbought or oversold conditions.

ALGER RESPONSIBLE Related Equities

These related stocks within the Large Growth space give benchmarks for judging ALGER RESPONSIBLE's results, margins, and growth trend. Looking at ALGER RESPONSIBLE's pricing multiples next to these peers shows if the stock trades at a premium or discount. Sector-wide trends across this peer group split company-level factors from broader forces. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
 Risk & Return  Correlation

ALGER RESPONSIBLE Market Strength Events

For investors tracking Alger Responsible Investing, market strength indicators offer quantitative evaluation of mutual fund behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in ALGER RESPONSIBLE.

ALGER RESPONSIBLE Risk Indicators

Analyzing ALGER RESPONSIBLE's basic risk indicators provides a structured view of the risk-return trade-off for alger mutual fund. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for ALGER RESPONSIBLE.
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.