VANGUARD CONSUMER Mutual Fund Forward View - Triple Exponential Smoothing

VCDAX Fund  USD 188.71  1.89  1.01%   
This reference page presents Triple Exponential Smoothing forecast data for Vanguard Sumer Discretionary. The projected values and error metrics are presented below as reference information.
The Triple Exponential Smoothing forecasted value of Vanguard Sumer Discretionary on the next trading day is expected to be 188.34 with a mean absolute deviation of 1.83 and the sum of the absolute errors of 109.73.As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD CONSUMER 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 Vanguard Sumer Discretionary observations. This Triple Exponential Smoothing forecast data for Vanguard Sumer Discretionary is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for VANGUARD CONSUMER - 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 VANGUARD CONSUMER 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 VANGUARD CONSUMER price movement. However, neither of these exponential smoothing models address any seasonality of VANGUARD CONSUMER.

Triple Exponential Smoothing Price Forecast For the 27th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Vanguard Sumer Discretionary on the next trading day is expected to be 188.34 with a mean absolute deviation of 1.83 , mean absolute percentage error of 5.85 , and the sum of the absolute errors of 109.73 .
Please note that although there have been many attempts to predict VANGUARD 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 VANGUARD CONSUMER'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 Vanguard Sumer Discretionary for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
188.71
187.21
Downside
188.34
Expected Value
189.48
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 VANGUARD CONSUMER mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD CONSUMER 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 -0.3574
MADMean absolute deviation1.8288
MAPEMean absolute percentage error0.0091
SAESum of the absolute errors109.7273
As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD CONSUMER 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 Vanguard Sumer Discretionary observations.

Other Forecasting Options for VANGUARD CONSUMER

VANGUARD CONSUMER's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in VANGUARD often signals an upcoming reversal or acceleration.

VANGUARD CONSUMER Related Equities

These firms work in a similar space as VANGUARD CONSUMER within the Consumer Cyclical space and serve as useful points for comparison. Revenue and margin checks across this group help investors set expectations for VANGUARD CONSUMER's results. Persistent outperformance or underperformance by specific peers relative to VANGUARD CONSUMER often signals structural advantages or weaknesses. These checks provide a starting point for deeper study of VANGUARD CONSUMER's strengths and weak spots.
 Risk & Return  Correlation

VANGUARD CONSUMER Market Strength Events

Market strength indicators help investors evaluate how VANGUARD CONSUMER mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Vanguard Sumer Discretionary.

VANGUARD CONSUMER Risk Indicators

The analysis of VANGUARD CONSUMER's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding VANGUARD CONSUMER's allows investors to make informed decisions about 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 VANGUARD CONSUMER

The amount of media and story coverage tied to Vanguard Sumer Discretionary can signal where market attention is concentrating at the moment. 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.