Nuveen Small Mutual Fund Forward View - Double Exponential Smoothing

FIMPX Fund  USD 34.27  -0.95  -2.70%   
Nuveen Small Cap's Double Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Double Exponential Smoothing forecasted value of Nuveen Small Cap on the next trading day is expected to be 34.15 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 22.30.When Nuveen Small Cap 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 Nuveen Small Cap 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 Nuveen Small observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for Nuveen Small Cap are reference data reflecting model output based on available historical prices.
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 Nuveen Small works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 24th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Nuveen Small Cap on the next trading day is expected to be 34.15 with a mean absolute deviation of 0.38 , mean absolute percentage error of 0.21 , and the sum of the absolute errors of 22.30 .
Please note that although there have been many attempts to predict Nuveen 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 Nuveen Small'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 Nuveen Small Cap for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Market Value
34.27
34.15
Expected Value
35.36
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 Nuveen Small mutual fund data series using in forecasting. Note that when a statistical model is used to represent Nuveen Small 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 0.0757
MADMean absolute deviation0.378
MAPEMean absolute percentage error0.0101
SAESum of the absolute errors22.3002
When Nuveen Small Cap 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 Nuveen Small Cap 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 Nuveen Small observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Nuveen Small

Bollinger Bands applied to Nuveen Mutual Fund price data measure how far Nuveen has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Nuveen Small's price data.

Nuveen Small Related Equities

Sizing up Nuveen Small against these stocks within the Small Growth space shows how it compares on key financial measures. Return on equity across these peers shows how well each firm turns capital into profit. Peer pricing works best when the firms compared share similar business models and end markets.
 Risk & Return  Correlation

Nuveen Small Market Strength Events

For investors tracking Nuveen Small Cap, market strength indicators offer quantitative evaluation of mutual fund behavior. By using these indicators, traders can make more informed decisions about when to buy or sell Nuveen Small Cap.

Nuveen Small Risk Indicators

Analyzing Nuveen Small's basic risk indicators provides investors with a structured view of the risk-return trade-off for nuveen mutual fund. By identifying the level of risk embedded in Nuveen Small's investment, investors can make informed decisions about position sizing.
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 Nuveen Small

A coverage review of Nuveen Small Cap shows when the security is attracting above-average attention from contributors and market observers. 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.