FEDERATED HIGH Mutual Fund Forward View - Double Exponential Smoothing

FHIIX Fund  USD 6.76  -0.03  -0.44%   
The Double Exponential Smoothing forecast shown here for FEDERATED HIGH is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Double Exponential Smoothing forecasted value of Federated High Income on the next trading day is expected to be 6.75 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.50.When Federated High Income prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Federated High Income trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent FEDERATED HIGH observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing reference page for FEDERATED HIGH presents model-generated projections from historical price data for informational purposes.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for FEDERATED HIGH works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 23rd of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Federated High Income on the next trading day is expected to be 6.75 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0001 , and the sum of the absolute errors of 0.50 .
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 HIGH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

This next-day forecast for Federated High Income uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 6.58 and upside around 6.92 for the forecasting period.
Market Value
6.76
6.75
Expected Value
6.92
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of FEDERATED HIGH mutual fund data series using in forecasting. Note that when a statistical model is used to represent FEDERATED HIGH 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0017
MADMean absolute deviation0.0085
MAPEMean absolute percentage error0.0012
SAESum of the absolute errors0.5014
When Federated High Income prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Federated High Income trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent FEDERATED HIGH observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for FEDERATED HIGH

Regardless of investment experience, understanding FEDERATED HIGH's price movement is essential for anyone considering a position in FEDERATED. Price charts for FEDERATED Mutual Fund are often filled with noise that can lead to poor investment choices if not properly filtered.

FEDERATED HIGH Related Equities

The following equities are related to FEDERATED HIGH within the High Yield Bond space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing FEDERATED HIGH against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

FEDERATED HIGH Market Strength Events

Market strength indicators for FEDERATED HIGH give investors insight into the mutual fund's responsiveness to broader market forces. Tracking these indicators provides context to make informed timing decisions and identify periods where trading FEDERATED HIGH is likely to be most rewarding.

FEDERATED HIGH Risk Indicators

A thorough review of FEDERATED HIGH's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis provides context for determining the appropriate level of risk to accept when holding FEDERATED HIGH's.
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 HIGH

A coverage review of Federated High Income shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.

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