Short Term Income Fund Market Value
| STCCX Fund | USD 12.04 0.01 0.08% |
| Symbol | Short-term |
Short-term Income '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 Short-term Income'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 Short-term Income.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Short-term Income on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Short Term Income Fund or generate 0.0% return on investment in Short-term Income over 90 days. Short-term Income is related to or competes with Morningstar Defensive, Versatile Bond, Federated Total, Touchstone Total, Doubleline Total, Ab Bond, and Pace Strategic. The fund invests primarily in high quality short-term bonds and other fixed-income securities that, at the time of purch... More
Short-term Income 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 Short-term Income'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 Short Term Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1168 | |||
| Information Ratio | 0.9739 | |||
| Maximum Drawdown | 0.5034 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.2508 |
Short-term Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short-term Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short-term Income's standard deviation. In reality, there are many statistical measures that can use Short-term Income historical prices to predict the future Short-term Income's volatility.| Risk Adjusted Performance | 0.0113 | |||
| Jensen Alpha | 0.0017 | |||
| Total Risk Alpha | 0.0142 | |||
| Sortino Ratio | 0.9351 | |||
| Treynor Ratio | 0.0113 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Short-term Income'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.
Short Term Income Backtested Returns
At this stage we consider Short-term Mutual Fund to be very steady. Short Term Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the fund had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Short Term Income Fund, which you can use to evaluate the volatility of the fund. Please validate Short-term Income's Standard Deviation of 0.1121, risk adjusted performance of 0.0113, and Downside Deviation of 0.1168 to confirm if the risk estimate we provide is consistent with the expected return of 0.0151%. The entity has a beta of 0.0144, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Short-term Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Short-term Income is expected to be smaller as well.
Auto-correlation | 0.60 |
Good predictability
Short Term Income Fund has good predictability. Overlapping area represents the amount of predictability between Short-term Income time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Short Term Income price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Short-term Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Term Income lagged returns against current returns
Autocorrelation, which is Short-term Income 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 Short-term Income's mutual fund expected returns. We can calculate the autocorrelation of Short-term Income returns to help us make a trade decision. For example, suppose you find that Short-term Income 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 |
Short-term Income 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 Short-term Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short-term Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Short-term Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Short-term Income Lagged Returns
When evaluating Short-term Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short-term Income mutual fund have on its future price. Short-term Income 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, Short-term Income autocorrelation shows the relationship between Short-term Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Short Term Income Fund.
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 Short-term Mutual Fund
Short-term Income financial ratios help investors to determine whether Short-term 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 Short-term with respect to the benefits of owning Short-term Income security.
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