VOYA MULTI-MANAGER Mutual Fund Forward View - Triple Exponential Smoothing

IMCVX Fund  USD 9.27  0.11  1.20%   
This reference view applies Triple Exponential Smoothing to Voya Multi Manager Mid's historical closing prices. Voya Multi Manager Mid's Triple Exponential Smoothing reference page summarizes the forecasted price and model accuracy metrics from daily trading data.
The Triple Exponential Smoothing forecasted value of Voya Multi Manager Mid on the next trading day is expected to be 9.23 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.44.As with simple exponential smoothing, in triple exponential smoothing models past VOYA MULTI-MANAGER observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Voya Multi Manager Mid observations. All forecast values on this page for Voya Multi Manager Mid are Triple Exponential Smoothing reference data derived from historical price series.
Triple exponential smoothing for VOYA MULTI-MANAGER - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When VOYA MULTI-MANAGER 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 trend in VOYA MULTI-MANAGER price movement. However, neither of these exponential smoothing models address any seasonality of Voya Multi Manager.

Triple Exponential Smoothing Price Forecast For the 25th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Voya Multi Manager Mid on the next trading day is expected to be 9.23 with a mean absolute deviation of 0.06 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.44 .
Please note that although there have been many attempts to predict VOYA 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 VOYA MULTI-MANAGER'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 Voya Multi Manager Mid 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 8.45 on the downside to about 10.01 on the upside.
Market Value
9.27
9.23
Expected Value
10.01
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of VOYA MULTI-MANAGER mutual fund data series using in forecasting. Note that when a statistical model is used to represent VOYA MULTI-MANAGER 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 0.0081
MADMean absolute deviation0.0574
MAPEMean absolute percentage error0.006
SAESum of the absolute errors3.442
As with simple exponential smoothing, in triple exponential smoothing models past VOYA MULTI-MANAGER observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Voya Multi Manager Mid observations.

Other Forecasting Options for VOYA MULTI-MANAGER

Volume-weighted price analysis for VOYA Mutual Fund gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line can identify shifts in VOYA momentum before they appear in raw price.

VOYA MULTI-MANAGER Related Equities

These related stocks within the Mid-Cap Value space give benchmarks for judging VOYA MULTI-MANAGER's results, margins, and growth trend. Revenue and margin checks across this group help investors set expectations for VOYA MULTI-MANAGER's results.
 Risk & Return  Correlation

VOYA MULTI-MANAGER Market Strength Events

Evaluating the market strength of VOYA MULTI-MANAGER mutual fund allows investors to gauge shifts in market momentum. Monitoring these indicators highlights periods where Voya Multi Manager Mid trading conditions shift meaningfully.

VOYA MULTI-MANAGER Risk Indicators

Understanding VOYA MULTI-MANAGER's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in VOYA MULTI-MANAGER's investment, investors can decide how to position 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 VOYA MULTI-MANAGER

Coverage intensity for Voya Multi Manager Mid matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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.