Fidelity Intermediate Government Fund Market Value
| FSTGX Fund | USD 9.50 0.01 0.11% |
| Symbol | Fidelity |
Fidelity Intermediate '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 Intermediate'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 Intermediate.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Fidelity Intermediate on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Intermediate Government or generate 0.0% return on investment in Fidelity Intermediate over 30 days. Fidelity Intermediate is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund normally invests at least 80 percent of assets in U.S More
Fidelity Intermediate 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 Intermediate'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 Intermediate Government upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.30) | |||
| Maximum Drawdown | 1.46 | |||
| Value At Risk | (0.52) | |||
| Potential Upside | 0.3122 |
Fidelity Intermediate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Intermediate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Intermediate's standard deviation. In reality, there are many statistical measures that can use Fidelity Intermediate historical prices to predict the future Fidelity Intermediate's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.64) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Intermediate'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.
Fidelity Intermediate Backtested Returns
Fidelity Intermediate secures Sharpe Ratio (or Efficiency) of -0.15, which denotes the fund had a -0.15% return per unit of risk over the last 3 months. Fidelity Intermediate Government exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Intermediate's Mean Deviation of 0.2086, variance of 0.0726, and Standard Deviation of 0.2695 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0473, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Intermediate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Intermediate is expected to be smaller as well.
Auto-correlation | 0.19 |
Very weak predictability
Fidelity Intermediate Government has very weak predictability. Overlapping area represents the amount of predictability between Fidelity Intermediate time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 Intermediate price movement. The serial correlation of 0.19 indicates that over 19.0% of current Fidelity Intermediate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Fidelity Intermediate lagged returns against current returns
Autocorrelation, which is Fidelity Intermediate 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 Intermediate's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Intermediate returns to help us make a trade decision. For example, suppose you find that Fidelity Intermediate 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 Intermediate 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 Intermediate mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Intermediate 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 Intermediate mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Intermediate Lagged Returns
When evaluating Fidelity Intermediate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Intermediate mutual fund have on its future price. Fidelity Intermediate 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 Intermediate autocorrelation shows the relationship between Fidelity Intermediate mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Intermediate Government.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Fidelity Intermediate Correlation, Fidelity Intermediate Volatility and Fidelity Intermediate Alpha and Beta module to complement your research on Fidelity Intermediate. Note that the Fidelity Intermediate information on this page should be used as a complementary analysis to other Fidelity Intermediate's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Fidelity Intermediate technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.