MULTIMEDIA PORTFOLIO Mutual Fund Forward View - Double Exponential Smoothing

FBMPX Fund  USD 131.26  -2.08  -1.56%   
Multimedia Portfolio Multimedia'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 Multimedia Portfolio Multimedia on the next trading day is expected to be 130.91 with a mean absolute deviation of 1.25 and the sum of the absolute errors of 75.27.When Multimedia Portfolio Multimedia 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 Multimedia Portfolio Multimedia 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 MULTIMEDIA PORTFOLIO observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for Multimedia Portfolio Multimedia 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 MULTIMEDIA PORTFOLIO works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Multimedia Portfolio Multimedia on the next trading day is expected to be 130.91 with a mean absolute deviation of 1.25 , mean absolute percentage error of 2.39 , and the sum of the absolute errors of 75.27 .
Please note that although there have been many attempts to predict MULTIMEDIA 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 MULTIMEDIA PORTFOLIO'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 Multimedia Portfolio Multimedia uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The projected forecast band currently runs from roughly 129.80 on the downside to about 132.02 on the upside.
Market Value
131.26
129.80
Downside
130.91
Expected Value
132.02
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 MULTIMEDIA PORTFOLIO mutual fund data series using in forecasting. Note that when a statistical model is used to represent MULTIMEDIA PORTFOLIO 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 -0.2045
MADMean absolute deviation1.2545
MAPEMean absolute percentage error0.009
SAESum of the absolute errors75.27
When Multimedia Portfolio Multimedia 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 Multimedia Portfolio Multimedia 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 MULTIMEDIA PORTFOLIO observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for MULTIMEDIA PORTFOLIO

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

MULTIMEDIA PORTFOLIO Related Equities

These stocks within the Communications space are often compared to MULTIMEDIA PORTFOLIO by analysts and fund managers in the sector. Revenue and margin checks across this group help investors set expectations for MULTIMEDIA PORTFOLIO's results. Sector-wide trends across this peer group can help split company-level factors from broader forces.
 Risk & Return  Correlation

MULTIMEDIA PORTFOLIO Market Strength Events

For investors tracking Multimedia Portfolio Multimedia, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around Multimedia Portfolio Multimedia positions.

MULTIMEDIA PORTFOLIO Risk Indicators

Analyzing MULTIMEDIA PORTFOLIO's basic risk indicators provides investors with a structured view of the risk-return trade-off for multimedia mutual fund. By identifying the level of risk embedded in MULTIMEDIA PORTFOLIO'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 MULTIMEDIA PORTFOLIO

Coverage intensity for Multimedia Portfolio Multimedia matters because narrative visibility can influence sentiment, participation, and volatility around the name. 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.