Fidelity Long Term Treasury Fund Market Value
| FNBGX Fund | USD 9.20 0.04 0.43% |
| Symbol | Fidelity |
Fidelity Long-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 Long-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 Long-term.
| 05/14/2025 |
| 08/12/2025 |
If you would invest 0.00 in Fidelity Long-term on May 14, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Long Term Treasury or generate 0.0% return on investment in Fidelity Long-term over 90 days. Fidelity Long-term is related to or competes with Fidelity Intermediate, Fidelity Short, Fidelity Inflation, Fidelity Emerging, and Fidelity. The fund normally invests at least 80 percent of assets in securities included in the Bloomberg U.S More
Fidelity Long-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 Long-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 Long Term Treasury upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7409 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 2.89 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.25 |
Fidelity Long-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Long-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Long-term's standard deviation. In reality, there are many statistical measures that can use Fidelity Long-term historical prices to predict the future Fidelity Long-term's volatility.| Risk Adjusted Performance | 0.0198 | |||
| Jensen Alpha | (0.0004) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | 0.0908 |
Fidelity Long Term Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Long Term secures Sharpe Ratio (or Efficiency) of 0.0768, which denotes the fund had a 0.0768 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Long Term Treasury, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Long-term's Mean Deviation of 0.5623, coefficient of variation of 3746.72, and Downside Deviation of 0.7409 to check if the risk estimate we provide is consistent with the expected return of 0.0541%. The fund shows a Beta (market volatility) of 0.0991, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Long-term's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Long-term is expected to be smaller as well.
Auto-correlation | 0.46 |
Average predictability
Fidelity Long Term Treasury has average predictability. Overlapping area represents the amount of predictability between Fidelity Long-term time series from 14th of May 2025 to 28th of June 2025 and 28th of June 2025 to 12th of August 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 Fidelity Long Term price movement. The serial correlation of 0.46 indicates that about 46.0% of current Fidelity Long-term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Fidelity Long Term lagged returns against current returns
Autocorrelation, which is Fidelity Long-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 Long-term's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Long-term returns to help us make a trade decision. For example, suppose you find that Fidelity Long-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 Long-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 Long-term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Long-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 Long-term mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Long-term Lagged Returns
When evaluating Fidelity Long-term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Long-term mutual fund have on its future price. Fidelity Long-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 Long-term autocorrelation shows the relationship between Fidelity Long-term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Long Term Treasury.
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 Fidelity Mutual Fund
Fidelity Long-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 Long-term security.
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