Artisan Developing Mutual Fund Forward View - Double Exponential Smoothing

ARTYX Fund  USD 18.95  -0.41  -2.12%   
This reference page presents Double Exponential Smoothing forecast data for Artisan Developing World. The model output shown here is derived from Artisan Developing's historical price series and is provided for informational purposes.
The Double Exponential Smoothing forecasted value of Artisan Developing World on the next trading day is expected to be 18.90 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.57.When Artisan Developing World 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 Developing World 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 Developing observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Artisan Developing World 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 Developing works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 22nd of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Artisan Developing World on the next trading day is expected to be 18.90 with a mean absolute deviation of 0.19 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 11.57 .
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 Developing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest Artisan Developing  Artisan Developing Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast for Artisan Developing World focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Market Value
18.95
18.90
Expected Value
20.03
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 Developing mutual fund data series using in forecasting. Note that when a statistical model is used to represent Artisan Developing 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 0.0208
MADMean absolute deviation0.1928
MAPEMean absolute percentage error0.009
SAESum of the absolute errors11.57
When Artisan Developing World 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 Developing World 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 Developing observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Artisan Developing

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

Artisan Developing Related Equities

The following equities are related to Artisan Developing within the Diversified Emerging Mkts space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Artisan Developing 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 Developing Market Strength Events

Market strength indicators help investors to evaluate how Artisan Developing 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 Developing shares will generate the highest return on.

Artisan Developing Risk Indicators

The analysis of Artisan Developing'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 Developing'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 Developing

Story coverage around Artisan Developing World often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

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.