Alger Spectra Fund Market Value
| SPECX Fund | USD 22.98 0.09 0.39% |
| 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.
| 11/02/2022 |
| 04/25/2024 |
If you would invest 0.00 in Alger Spectra on November 2, 2022 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 540 days. Alger Spectra is related to or competes with Amana Income, Amana Income, Amana Developing, and Amana Developing. 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.
| Downside Deviation | 1.24 | |||
| Information Ratio | 0.0169 | |||
| Maximum Drawdown | 7.43 | |||
| Value At Risk | (1.85) | |||
| Potential Upside | 2.12 |
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 | 0.0614 | |||
| Jensen Alpha | 0.0114 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.0178 | |||
| Treynor Ratio | 0.0955 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alger Spectra's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Alger Spectra Backtested Returns
We consider Alger Spectra very steady. Alger Spectra secures Sharpe Ratio (or Efficiency) of 0.0727, which signifies that the fund had a 0.0727% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Alger Spectra Fund, which you can use to evaluate the volatility of the entity. Please confirm Alger Spectra's mean deviation of 0.959, and Risk Adjusted Performance of 0.0614 to double-check if the risk estimate we provide is consistent with the expected return of 0.0976%. The fund shows a Beta (market volatility) of 1.12, which signifies a somewhat significant risk relative to the market. Alger Spectra returns are very sensitive to returns on the market. As the market goes up or down, Alger Spectra is expected to follow.
Auto-correlation | 0.91 |
Excellent predictability
Alger Spectra Fund has excellent predictability. Overlapping area represents the amount of predictability between Alger Spectra time series from 2nd of November 2022 to 30th of July 2023 and 30th of July 2023 to 25th of April 2024. 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 0.91 indicates that approximately 91.0% of current Alger Spectra price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 4.7 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alger Spectra in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alger Spectra's short interest history, or implied volatility extrapolated from Alger Spectra options trading.
Currently Active Assets on Macroaxis
Check out Alger Spectra Correlation, Alger Spectra Volatility and Alger Spectra Alpha and Beta module to complement your research on Alger Spectra. Note that the Alger Spectra information on this page should be used as a complementary analysis to other Alger Spectra's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Alger Spectra technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.