Alger Spectra Fund Market Value
| ASPIX Fund | USD 26.23 0.44 1.65% |
| Symbol | Alger |
Alger Spectra '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 Spectra'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 Spectra.
| 12/28/2024 |
| 03/28/2025 |
If you would invest 0.00 in Alger Spectra on December 28, 2024 and sell it all today you would earn a total of 0.00 from holding Alger Spectra Fund or generate 0.0% return on investment in Alger Spectra over 90 days. Alger Spectra is related to or competes with Materials Portfolio, and Scharf Global. The fund invests primarily in the equity securities of companies of any size that the manager believes demonstrate promi... More
Alger Spectra 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 Spectra'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 Spectra Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 8.67 | |||
| Value At Risk | (3.37) | |||
| Potential Upside | 2.8 |
Alger Spectra Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alger Spectra's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alger Spectra's standard deviation. In reality, there are many statistical measures that can use Alger Spectra historical prices to predict the future Alger Spectra's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.10) |
Alger Spectra Backtested Returns
Alger Spectra secures Sharpe Ratio (or Efficiency) of -0.0809, which signifies that the fund had a -0.0809 % return per unit of standard deviation over the last 3 months. Alger Spectra Fund exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alger Spectra's mean deviation of 1.53, and Risk Adjusted Performance of (0.05) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.43, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Alger Spectra will likely underperform.
Auto-correlation | -0.47 |
Modest reverse predictability
Alger Spectra Fund has modest reverse predictability. Overlapping area represents the amount of predictability between Alger Spectra time series from 28th of December 2024 to 11th of February 2025 and 11th of February 2025 to 28th of March 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 Spectra price movement. The serial correlation of -0.47 indicates that about 47.0% of current Alger Spectra price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 3.85 |
Alger Spectra lagged returns against current returns
Autocorrelation, which is Alger Spectra 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 Spectra's mutual fund expected returns. We can calculate the autocorrelation of Alger Spectra returns to help us make a trade decision. For example, suppose you find that Alger Spectra 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 Spectra 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 Spectra mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alger Spectra 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 Spectra mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alger Spectra Lagged Returns
When evaluating Alger Spectra's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alger Spectra mutual fund have on its future price. Alger Spectra 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 Spectra autocorrelation shows the relationship between Alger Spectra mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alger Spectra Fund.
Regressed Prices |
| Timeline |
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Other Information on Investing in Alger Mutual Fund
Alger Spectra 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 Spectra security.
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