Federated Short Mutual Fund Forward View
| FSILX Fund | USD 8.51 0.01 0.12% |
This reference view applies Naive Prediction to Federated Short Term Income's historical closing prices. Federated Short Term Income's Naive Prediction reference page summarizes the forecasted price and model accuracy metrics from daily trading data. Federated Short Term Income's forecast reference data is generated from the equity's historical trading prices. Mean absolute deviation and related metrics help quantify forecast uncertainty for Federated Short Term Income.
The Naive Prediction forecasted value of Federated Short Term Income on the next trading day is expected to be 8.51 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.52.This model is not at all useful as a medium-long range forecasting tool of Federated Short Term Income. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Federated Short. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. All forecast values on this page for Federated Short Term Income are Naive Prediction reference data derived from historical price series. Naive Prediction Price Forecast For the 24th of March
Given 90 days horizon, the Naive Prediction forecasted value of Federated Short Term Income on the next trading day is expected to be 8.51 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0001 , and the sum of the absolute errors of 0.52 .Please note that although there have been many attempts to predict Federated Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Federated Short's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Federated Short | Federated Short Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates Federated Short's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 8.38 and upside near 8.63.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Federated Short mutual fund data series using in forecasting. Note that when a statistical model is used to represent Federated Short mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 108.9925 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0085 |
| MAPE | Mean absolute percentage error | 0.001 |
| SAE | Sum of the absolute errors | 0.5197 |
Other Forecasting Options for Federated Short
Volume-weighted price analysis for Federated Mutual Fund gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line can identify shifts in Federated momentum before they appear in raw price. Comparing Federated Short's realized volatility to implied volatility reveals whether the options market expects larger or smaller moves. Readings above 80 or below 20 highlight potential reversal zones in Federated Mutual Fund price action.Federated Short Related Equities
The peer firms below within the Short-Term Bond space can help frame Federated Short's pricing and running costs in context. Profit comparisons show whether Federated Short earns above or below average returns next to its peers. Persistent outperformance or underperformance by specific peers relative to Federated Short often signals structural advantages or weaknesses.
| Risk & Return | Correlation |
Federated Short Market Strength Events
Evaluating the market strength of Federated Short mutual fund allows investors to gauge shifts in market momentum. Monitoring these indicators highlights periods where Federated Short Term Income trading conditions shift meaningfully. These metrics are particularly useful when Federated Short mutual fund shows divergence from broader market trends. Regularly reviewing Federated Short Term Income strength signals helps maintain a structured approach to position management.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8.51 | |||
| Day Typical Price | 8.51 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 44.53 |
Federated Short Risk Indicators
Understanding Federated Short's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in Federated Short's investment, investors can decide how to position their exposure. Reviewing Federated Short's basic risk indicators is essential for managing investment risk effectively. The risk-return trade-off for federated mutual fund becomes clearer when Federated Short's risk indicators are properly assessed.
| Mean Deviation | 0.0773 | |||
| Standard Deviation | 0.1282 | |||
| Variance | 0.0164 | |||
| Downside Variance | 0.0285 | |||
| Semi Variance | -0.0005 | |||
| Expected Short fall | -0.18 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Federated Short
The amount of media and story coverage tied to Federated Short Term Income can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.