ACCESS CAPITAL Mutual Fund Forward View - Double Exponential Smoothing

ACCSX Fund  USD 7.81  -0.04  -0.51%   
This page provides reference data for ACCESS CAPITAL using Double Exponential Smoothing forecasting. The projected value and error metrics are calculated from available daily price observations.
The Double Exponential Smoothing forecasted value of Access Capital Munity on the next trading day is expected to be 7.80 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.84.When Access Capital Munity 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 Access Capital Munity 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 ACCESS CAPITAL observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing reference page for ACCESS CAPITAL 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 ACCESS CAPITAL 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 Access Capital Munity on the next trading day is expected to be 7.80 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0003 , and the sum of the absolute errors of 0.84 .
Please note that although there have been many attempts to predict ACCESS 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 ACCESS CAPITAL'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 Access Capital Munity 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 7.59 and upside around 8.02 for the forecasting period.
Market Value
7.81
7.80
Expected Value
8.02
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 ACCESS CAPITAL mutual fund data series using in forecasting. Note that when a statistical model is used to represent ACCESS CAPITAL 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 0.003
MADMean absolute deviation0.0142
MAPEMean absolute percentage error0.0018
SAESum of the absolute errors0.8383
When Access Capital Munity 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 Access Capital Munity 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 ACCESS CAPITAL observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for ACCESS CAPITAL

For investors considering ACCESS, ACCESS CAPITAL's price movement is the most direct driver of investment returns. Noise in ACCESS Mutual Fund price charts can make identifying meaningful trends difficult without dedicated analytical tools.

ACCESS CAPITAL Related Equities

The following equities are related to ACCESS CAPITAL within the Intermediate Government space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing ACCESS CAPITAL 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

ACCESS CAPITAL Market Strength Events

Market strength indicators for ACCESS CAPITAL provide investors with a view of how the mutual fund performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Access Capital Munity.

ACCESS CAPITAL Risk Indicators

A structured analysis of ACCESS CAPITAL's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in ACCESS CAPITAL's allows investors to decide whether to accept, reduce, or hedge their exposure.
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 ACCESS CAPITAL

A coverage review of Access Capital Munity shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.