Alger Ai Enablers Fund Market Value
| AAIZX Fund | 15.55 0.21 1.33% |
| Symbol | Alger |
Alger Ai 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Alger Ai's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Alger Ai.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in Alger Ai on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Alger Ai Enablers or generate 0.0% return on investment in Alger Ai over 90 days. Alger Ai is related to or competes with Fidelity Flex, Dreyfus Short, Franklin Federal, Nuveen Short, Boston Partners, and Easterly Snow. More
Alger Ai Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Alger Ai's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Alger Ai Enablers upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8513 | |||
| Information Ratio | 0.1916 | |||
| Maximum Drawdown | 7.67 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 2.6 |
Alger Ai Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alger Ai's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alger Ai's standard deviation. In reality, there are many statistical measures that can use Alger Ai historical prices to predict the future Alger Ai's volatility.| Risk Adjusted Performance | 0.326 | |||
| Jensen Alpha | 0.323 | |||
| Total Risk Alpha | 0.1559 | |||
| Sortino Ratio | 0.2833 | |||
| Treynor Ratio | 0.7422 |
Alger Ai Enablers Backtested Returns
Alger Ai appears to be very steady, given 3 months investment horizon. Alger Ai Enablers secures Sharpe Ratio (or Efficiency) of 0.36, which signifies that the fund had a 0.36 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Alger Ai Enablers, which you can use to evaluate the volatility of the entity. Please makes use of Alger Ai's mean deviation of 0.9433, and Risk Adjusted Performance of 0.326 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.6, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Alger Ai's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alger Ai is expected to be smaller as well.
Auto-correlation | 0.95 |
Excellent predictability
Alger Ai Enablers has excellent predictability. Overlapping area represents the amount of predictability between Alger Ai time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alger Ai Enablers price movement. The serial correlation of 0.95 indicates that approximately 95.0% of current Alger Ai price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.95 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Alger Ai Enablers lagged returns against current returns
Autocorrelation, which is Alger Ai mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Alger Ai's mutual fund expected returns. We can calculate the autocorrelation of Alger Ai returns to help us make a trade decision. For example, suppose you find that Alger Ai has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Alger Ai regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Alger Ai mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alger Ai mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alger Ai mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alger Ai Lagged Returns
When evaluating Alger Ai's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alger Ai mutual fund have on its future price. Alger Ai autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Alger Ai autocorrelation shows the relationship between Alger Ai mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alger Ai Enablers.
Regressed Prices |
| Timeline |
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Other Information on Investing in Alger Mutual Fund
Alger Ai financial ratios help investors to determine whether Alger Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Alger with respect to the benefits of owning Alger Ai security.
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