Advisors Inner Mutual Fund Forward View - Double Exponential Smoothing

CIPTX Fund   11.15  -0.10  -0.89%   
Advisors Inner Circle's Double Exponential Smoothing forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Double Exponential Smoothing forecasted value of Advisors Inner Circle on the next trading day is expected to be 11.12 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.75.When Advisors Inner Circle 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 Advisors Inner Circle 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 Advisors Inner observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing projections for Advisors Inner Circle are reference data based on historical daily prices and are provided as informational context.
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 Advisors Inner works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 20th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Advisors Inner Circle on the next trading day is expected to be 11.12 with a mean absolute deviation of 0.11 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.75 .
Please note that although there have been many attempts to predict Advisors 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 Advisors Inner'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 Advisors Inner Circle for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 9.98 on the downside to about 12.26 on the upside.
Market Value
11.15
11.12
Expected Value
12.26
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 Advisors Inner mutual fund data series using in forecasting. Note that when a statistical model is used to represent Advisors Inner 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 0.0255
MADMean absolute deviation0.1125
MAPEMean absolute percentage error0.0096
SAESum of the absolute errors6.7492
When Advisors Inner Circle 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 Advisors Inner Circle 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 Advisors Inner observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Advisors Inner

The price trajectory of Advisors is the primary concern for any investor assessing it as an opportunity. Advisors Mutual Fund price charts are filled with noise that can easily mislead uninformed investment decisions.

Advisors Inner Related Equities

The following equities are related to Advisors Inner within the Mid-Cap Growth space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Advisors Inner 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

Advisors Inner Market Strength Events

Understanding the market strength of Advisors Inner mutual fund enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in Advisors Inner Circle with greater precision.

Advisors Inner Risk Indicators

Reviewing Advisors Inner's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding Advisors Inner's and informs decisions about hedging and position.
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 Advisors Inner

A coverage review of Advisors Inner Circle helps investors see when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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.