Ultra Short Term Bond Fund Market Value
| URUSX Fund | USD 10.08 0.01 0.1% |
| Symbol | Ultra |
Ultra 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 Ultra 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 Ultra Short-term.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Ultra Short-term on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Ultra Short Term Bond or generate 0.0% return on investment in Ultra Short-term over 30 days. Ultra Short-term is related to or competes with Mesirow Financial, Davis Financial, Vanguard Financials, 1919 Financial, John Hancock, and Financials Ultrasector. The fund normally invests at least 80 percent of the funds assets in investment-grade debt securities that have a dollar... More
Ultra 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 Ultra 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 Ultra Short Term Bond upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.03) | |||
| Maximum Drawdown | 0.6026 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.1001 |
Ultra Short-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ultra Short-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ultra Short-term's standard deviation. In reality, there are many statistical measures that can use Ultra Short-term historical prices to predict the future Ultra Short-term's volatility.| Risk Adjusted Performance | 0.0948 | |||
| Jensen Alpha | 0.0122 | |||
| Total Risk Alpha | (0) | |||
| Treynor Ratio | (1.35) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ultra Short-term'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.
Ultra Short Term Backtested Returns
At this stage we consider Ultra Mutual Fund to be out of control. Ultra Short Term owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the fund had a 0.17% return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Ultra Short Term Bond, which you can use to evaluate the volatility of the fund. Please validate Ultra Short-term's Coefficient Of Variation of 478.05, risk adjusted performance of 0.0948, and Variance of 0.0103 to confirm if the risk estimate we provide is consistent with the expected return of 0.0143%. The entity has a beta of -0.0083, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Ultra Short-term are expected to decrease at a much lower rate. During the bear market, Ultra Short-term is likely to outperform the market.
Auto-correlation | 0.67 |
Good predictability
Ultra Short Term Bond has good predictability. Overlapping area represents the amount of predictability between Ultra Short-term time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 Ultra Short Term price movement. The serial correlation of 0.67 indicates that around 67.0% of current Ultra Short-term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Ultra Short Term lagged returns against current returns
Autocorrelation, which is Ultra 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 Ultra Short-term's mutual fund expected returns. We can calculate the autocorrelation of Ultra Short-term returns to help us make a trade decision. For example, suppose you find that Ultra 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 |
Ultra 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 Ultra Short-term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ultra 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 Ultra Short-term mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ultra Short-term Lagged Returns
When evaluating Ultra Short-term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ultra Short-term mutual fund have on its future price. Ultra 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, Ultra Short-term autocorrelation shows the relationship between Ultra Short-term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ultra Short Term Bond.
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 Ultra Mutual Fund
Ultra Short-term financial ratios help investors to determine whether Ultra 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 Ultra with respect to the benefits of owning Ultra Short-term security.
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