Spectrum Fund Institutional Fund Market Value
| SRUIX Fund | USD 14.33 0.04 0.28% |
| Symbol | Spectrum |
Spectrum Fund '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 Spectrum Fund'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 Spectrum Fund.
| 04/17/2025 |
| 07/16/2025 |
If you would invest 0.00 in Spectrum Fund on April 17, 2025 and sell it all today you would earn a total of 0.00 from holding Spectrum Fund Institutional or generate 0.0% return on investment in Spectrum Fund over 90 days. Spectrum Fund is related to or competes with Putnam Global, Dreyfus Technology, Invesco Technology, Goldman Sachs, Hennessy Technology, Fidelity Advisor, and Vanguard Information. The fund seeks to achieve its investment objective by taking long and short positions in the global securities markets More
Spectrum Fund 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 Spectrum Fund'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 Spectrum Fund Institutional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8537 | |||
| Information Ratio | 0.132 | |||
| Maximum Drawdown | 7.95 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.78 |
Spectrum Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spectrum Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spectrum Fund's standard deviation. In reality, there are many statistical measures that can use Spectrum Fund historical prices to predict the future Spectrum Fund's volatility.| Risk Adjusted Performance | 0.2517 | |||
| Jensen Alpha | 0.2347 | |||
| Total Risk Alpha | 0.1337 | |||
| Sortino Ratio | 0.167 | |||
| Treynor Ratio | 1.21 |
Spectrum Fund Instit Backtested Returns
Spectrum Fund appears to be very steady, given 3 months investment horizon. Spectrum Fund Instit owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.31, which indicates the fund had a 0.31 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Spectrum Fund Institutional, which you can use to evaluate the volatility of the fund. Please review Spectrum Fund's Coefficient Of Variation of 400.12, risk adjusted performance of 0.2517, and Semi Deviation of 0.4326 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.21, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Spectrum Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Spectrum Fund is expected to be smaller as well.
Auto-correlation | 0.89 |
Very good predictability
Spectrum Fund Institutional has very good predictability. Overlapping area represents the amount of predictability between Spectrum Fund time series from 17th of April 2025 to 1st of June 2025 and 1st of June 2025 to 16th 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 Spectrum Fund Instit price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current Spectrum Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.89 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Spectrum Fund Instit lagged returns against current returns
Autocorrelation, which is Spectrum Fund 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 Spectrum Fund's mutual fund expected returns. We can calculate the autocorrelation of Spectrum Fund returns to help us make a trade decision. For example, suppose you find that Spectrum Fund 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 |
Spectrum Fund 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 Spectrum Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spectrum Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spectrum Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Spectrum Fund Lagged Returns
When evaluating Spectrum Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spectrum Fund mutual fund have on its future price. Spectrum Fund 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, Spectrum Fund autocorrelation shows the relationship between Spectrum Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Spectrum Fund Institutional.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Spectrum Mutual Fund
Spectrum Fund financial ratios help investors to determine whether Spectrum 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 Spectrum with respect to the benefits of owning Spectrum Fund security.
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios |