Short Term Bond Fund Market Value
| UISBX Fund | USD 9.07 0.01 0.11% |
| Symbol | Short |
Short Term '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'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.
| 11/23/2024 |
| 12/23/2024 |
If you would invest 0.00 in Short Term on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding Short Term Bond Fund or generate 0.0% return on investment in Short Term over 30 days. The fund normally invests at least 80 percent of its assets in a broad range of investment-grade debt securities that ha... More
Short Term 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'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 Bond Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 0.6593 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2208 |
Short Term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Term's standard deviation. In reality, there are many statistical measures that can use Short Term historical prices to predict the future Short Term's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | (3.41) |
Short Term Bond Backtested Returns
Short Term Bond owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0275, which indicates the fund had a -0.0275% return per unit of risk over the last 3 months. Short Term Bond Fund exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Short Term's Risk Adjusted Performance of (0.07), variance of 0.0147, and Coefficient Of Variation of (7,605) to confirm the risk estimate we provide. The entity has a beta of 0.0034, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Short Term's returns are expected to increase less than the market. However, during the bear market, the loss of holding Short Term is expected to be smaller as well.
Auto-correlation | -0.82 |
Excellent reverse predictability
Short Term Bond Fund has excellent reverse predictability. Overlapping area represents the amount of predictability between Short Term time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd of December 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 Short Term Bond price movement. The serial correlation of -0.82 indicates that around 82.0% of current Short Term price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Term Bond lagged returns against current returns
Autocorrelation, which is Short Term 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's mutual fund expected returns. We can calculate the autocorrelation of Short Term returns to help us make a trade decision. For example, suppose you find that Short Term 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 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short Term 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 mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Short Term Lagged Returns
When evaluating Short Term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short Term mutual fund have on its future price. Short Term 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 autocorrelation shows the relationship between Short Term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Short Term Bond 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 Mutual Fund
Short Term financial ratios help investors to determine whether Short 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 with respect to the benefits of owning Short Term security.
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