Spectrum Fund Institutional Fund Market Value
| SRUIX Fund | USD 13.23 0.02 0.15% |
| 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.
| 02/19/2024 |
| 04/19/2024 |
If you would invest 0.00 in Spectrum Fund on February 19, 2024 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 60 days. Spectrum Fund is related to or competes with Muirfield Fund, Dynamic Growth, Balanced Fund, Quantex Fund, and Total Return. 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 | 0.8278 | |||
| Information Ratio | 0.0154 | |||
| Maximum Drawdown | 4.24 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.15 |
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 | 0.066 | |||
| Jensen Alpha | 0.0092 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0145 | |||
| Treynor Ratio | 0.0674 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spectrum Fund'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.
Spectrum Fund Instit Backtested Returns
We consider Spectrum Fund very steady. Spectrum Fund Instit owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.07, which indicates the fund had a 0.07% 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 validate Spectrum Fund's Risk Adjusted Performance of 0.066, semi deviation of 0.7188, and Coefficient Of Variation of 967.24 to confirm if the risk estimate we provide is consistent with the expected return of 0.0542%. The entity has a beta of 1.05, which indicates a somewhat significant risk relative to the market. Spectrum Fund returns are very sensitive to returns on the market. As the market goes up or down, Spectrum Fund is expected to follow.
Auto-correlation | -0.48 |
Modest reverse predictability
Spectrum Fund Institutional has modest reverse predictability. Overlapping area represents the amount of predictability between Spectrum Fund time series from 19th of February 2024 to 20th of March 2024 and 20th of March 2024 to 19th 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 Spectrum Fund Instit price movement. The serial correlation of -0.48 indicates that about 48.0% of current Spectrum Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
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 |
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 Spectrum Fund 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, Spectrum Fund's short interest history, or implied volatility extrapolated from Spectrum Fund options trading.
Currently Active Assets on Macroaxis
Check out Spectrum Fund Correlation, Spectrum Fund Volatility and Spectrum Fund Alpha and Beta module to complement your research on Spectrum Fund. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Spectrum Fund 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.