Federated Short Term Income Fund Market Value
| FSTIX Fund | USD 8.49 0.01 0.12% |
| Symbol | Federated |
Federated 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 Federated 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 Federated Short-term.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Federated Short-term on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Federated Short Term Income or generate 0.0% return on investment in Federated Short-term over 30 days. Federated Short-term is related to or competes with Federated Emerging, Federated Mdt, Federated Mdt, Federated Global, Federated Hermes, Federated Strategic, and Federated Strategic. In pursuing its principal investment strategies, the fund invests in a diversified portfolio of fixed-income securities ... More
Federated 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 Federated 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 Federated Short Term Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1557 | |||
| Information Ratio | (0.95) | |||
| Maximum Drawdown | 0.9459 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.2364 |
Federated Short-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Federated Short-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Federated Short-term's standard deviation. In reality, there are many statistical measures that can use Federated Short-term historical prices to predict the future Federated Short-term's volatility.| Risk Adjusted Performance | 0.0148 | |||
| Jensen Alpha | 0.0075 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.81) | |||
| Treynor Ratio | (0.02) |
Federated Short Term Backtested Returns
At this stage we consider Federated Mutual Fund to be very steady. Federated Short Term secures Sharpe Ratio (or Efficiency) of 0.0331, which denotes the fund had a 0.0331% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Federated Short Term Income, which you can use to evaluate the volatility of the entity. Please confirm Federated Short-term's Coefficient Of Variation of 1235.71, mean deviation of 0.0872, and Standard Deviation of 0.1339 to check if the risk estimate we provide is consistent with the expected return of 0.0037%. The fund shows a Beta (market volatility) of -0.052, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Federated Short-term are expected to decrease at a much lower rate. During the bear market, Federated Short-term is likely to outperform the market.
Auto-correlation | -0.44 |
Modest reverse predictability
Federated Short Term Income has modest reverse predictability. Overlapping area represents the amount of predictability between Federated Short-term time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Federated Short Term price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Federated Short-term price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Federated Short Term lagged returns against current returns
Autocorrelation, which is Federated 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 Federated Short-term's mutual fund expected returns. We can calculate the autocorrelation of Federated Short-term returns to help us make a trade decision. For example, suppose you find that Federated 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 |
Federated 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 Federated Short-term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Federated 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 Federated Short-term mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Federated Short-term Lagged Returns
When evaluating Federated Short-term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Federated Short-term mutual fund have on its future price. Federated 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, Federated Short-term autocorrelation shows the relationship between Federated Short-term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Federated Short Term Income.
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 Federated Mutual Fund
Federated Short-term financial ratios help investors to determine whether Federated 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 Federated with respect to the benefits of owning Federated Short-term security.
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |