NEUBERGER BERMAN Mutual Fund Forward View - Double Exponential Smoothing

NFIIX Fund  USD 9.18  -0.01  -0.11%   
The Double Exponential Smoothing forecast shown here for NEUBERGER BERMAN 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 Neuberger Berman Floating on the next trading day is expected to be 9.18 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.44.When Neuberger Berman Floating 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 Neuberger Berman Floating 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 NEUBERGER BERMAN observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing reference page for NEUBERGER BERMAN 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 NEUBERGER BERMAN works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 21st of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Neuberger Berman Floating on the next trading day is expected to be 9.18 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0002 , and the sum of the absolute errors of 0.44 .
Please note that although there have been many attempts to predict NEUBERGER 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 NEUBERGER BERMAN'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

Forecasting Neuberger Berman Floating for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
9.18
9.18
Expected Value
9.32
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 NEUBERGER BERMAN mutual fund data series using in forecasting. Note that when a statistical model is used to represent NEUBERGER BERMAN 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 None
MADMean absolute deviation0.0073
MAPEMean absolute percentage error8.0E-4
SAESum of the absolute errors0.44
When Neuberger Berman Floating 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 Neuberger Berman Floating 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 NEUBERGER BERMAN observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for NEUBERGER BERMAN

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

NEUBERGER BERMAN Related Equities

The following equities are related to NEUBERGER BERMAN within the Bank Loan space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing NEUBERGER BERMAN 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

NEUBERGER BERMAN Market Strength Events

Market strength indicators for NEUBERGER BERMAN 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 NEUBERGER BERMAN is likely to be most rewarding.

NEUBERGER BERMAN Risk Indicators

A thorough review of NEUBERGER BERMAN'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 NEUBERGER BERMAN'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 NEUBERGER BERMAN

The amount of media and story coverage tied to Neuberger Berman Floating can signal where market attention is concentrating at the moment. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

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