Fidelity Short Term Treasury Fund Market Value
FUMBX Fund | USD 10.26 0.01 0.1% |
Symbol | Fidelity |
Fidelity 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 Fidelity 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 Fidelity Short-term.
10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Fidelity Short-term on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Short Term Treasury or generate 0.0% return on investment in Fidelity Short-term over 30 days. Fidelity Short-term is related to or competes with Fidelity Intermediate, Fidelity Long, Fidelity Short-term, Fidelity Inflation-protec, and Fidelity Large. The fund normally invests at least 80 percent of assets in securities included in the Bloomberg U.S More
Fidelity 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 Fidelity 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 Fidelity Short Term Treasury upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.93) | |||
Maximum Drawdown | 0.7752 | |||
Value At Risk | (0.19) | |||
Potential Upside | 0.1953 |
Fidelity Short-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Short-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Short-term's standard deviation. In reality, there are many statistical measures that can use Fidelity Short-term historical prices to predict the future Fidelity Short-term's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.03) | |||
Treynor Ratio | 0.2851 |
Fidelity Short Term Backtested Returns
Fidelity Short Term secures Sharpe Ratio (or Efficiency) of -0.0448, which denotes the fund had a -0.0448% return per unit of risk over the last 3 months. Fidelity Short Term Treasury exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Short-term's Variance of 0.0191, standard deviation of 0.1383, and Mean Deviation of 0.1036 to check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.0451, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fidelity Short-term are expected to decrease at a much lower rate. During the bear market, Fidelity Short-term is likely to outperform the market.
Auto-correlation | -0.48 |
Modest reverse predictability
Fidelity Short Term Treasury has modest reverse predictability. Overlapping area represents the amount of predictability between Fidelity 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 Fidelity Short Term price movement. The serial correlation of -0.48 indicates that about 48.0% of current Fidelity Short-term price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.48 | |
Spearman Rank Test | -0.44 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Fidelity Short Term lagged returns against current returns
Autocorrelation, which is Fidelity 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 Fidelity Short-term's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Short-term returns to help us make a trade decision. For example, suppose you find that Fidelity 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 |
Fidelity 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 Fidelity Short-term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity 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 Fidelity Short-term mutual fund over time.
Current vs Lagged Prices |
Timeline |
Fidelity Short-term Lagged Returns
When evaluating Fidelity Short-term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Short-term mutual fund have on its future price. Fidelity 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, Fidelity Short-term autocorrelation shows the relationship between Fidelity Short-term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Short Term Treasury.
Regressed Prices |
Timeline |
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Fidelity Short-term financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Short-term security.
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