ARTISAN EMERGING Mutual Fund Forward View - Double Exponential Smoothing

ARTZX Fund  USD 24.24  -0.38  -1.54%   
This reference page presents Double Exponential Smoothing forecast data for Artisan Emerging Markets. The model output shown here is derived from ARTISAN EMERGING's historical price series and is provided for informational purposes.
The Double Exponential Smoothing forecasted value of Artisan Emerging Markets on the next trading day is expected to be 24.25 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.77.When Artisan Emerging Markets 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 Artisan Emerging Markets 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 ARTISAN EMERGING observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Artisan Emerging Markets is sourced from the most recent available trading data and is intended solely as reference information.
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 ARTISAN EMERGING 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 Artisan Emerging Markets on the next trading day is expected to be 24.25 with a mean absolute deviation of 0.25 , mean absolute percentage error of 0.11 , and the sum of the absolute errors of 14.77 .
Please note that although there have been many attempts to predict ARTISAN 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 ARTISAN EMERGING'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

For the next trading day, Macroaxis evaluates ARTISAN EMERGING's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 23.03 and upside around 25.47 for the forecasting period.
Market Value
24.24
24.25
Expected Value
25.47
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 ARTISAN EMERGING mutual fund data series using in forecasting. Note that when a statistical model is used to represent ARTISAN EMERGING 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 0.0032
MADMean absolute deviation0.2503
MAPEMean absolute percentage error0.0097
SAESum of the absolute errors14.77
When Artisan Emerging Markets 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 Artisan Emerging Markets 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 ARTISAN EMERGING observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for ARTISAN EMERGING

For every potential investor in ARTISAN, whether a beginner or expert, ARTISAN EMERGING's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.

ARTISAN EMERGING Related Equities

The following equities are related to ARTISAN EMERGING within the Diversified Emerging Mkts space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing ARTISAN EMERGING 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

ARTISAN EMERGING Market Strength Events

Market strength indicators help investors to evaluate how ARTISAN EMERGING mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ARTISAN EMERGING shares will generate the highest return on.

ARTISAN EMERGING Risk Indicators

The analysis of ARTISAN EMERGING's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in ARTISAN EMERGING's investment and either accepting that risk or mitigating it.
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 ARTISAN EMERGING

Story coverage around Artisan Emerging Markets often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.

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.