VANGUARD TOTAL Mutual Fund Forward View - Triple Exponential Smoothing

VSTSX Fund  USD 310.80  3.83  1.25%   
The Triple Exponential Smoothing forecast shown here for VANGUARD TOTAL is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Triple Exponential Smoothing forecasted value of Vanguard Total fund on the next trading day is expected to be 309.45 with a mean absolute deviation of 2.01 and the sum of the absolute errors of 120.53.As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD TOTAL 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 Total Stock observations. This Triple Exponential Smoothing reference page for VANGUARD TOTAL presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for VANGUARD TOTAL - 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 TOTAL 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 TOTAL price movement. However, neither of these exponential smoothing models address any seasonality of Vanguard Total Stock.

Triple Exponential Smoothing Price Forecast For the 25th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Vanguard Total Stock on the next trading day is expected to be 309.45 with a mean absolute deviation of 2.01 , mean absolute percentage error of 6.56 , and the sum of the absolute errors of 120.53 .
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 TOTAL's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest VANGUARD TOTAL  VANGUARD TOTAL Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates VANGUARD TOTAL's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
310.80
308.65
Downside
309.45
Expected Value
310.25
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 TOTAL mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD TOTAL 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 0.5321
MADMean absolute deviation2.0089
MAPEMean absolute percentage error0.0062
SAESum of the absolute errors120.5346
As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD TOTAL 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 Total Stock observations.

Other Forecasting Options for VANGUARD TOTAL

The distribution of VANGUARD TOTAL's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in VANGUARD TOTAL's chart that simple price charts miss.

VANGUARD TOTAL Related Equities

These firms work in a similar space as VANGUARD TOTAL within the Large Blend space and serve as useful points for comparison. Profit comparisons show whether VANGUARD TOTAL earns above or below average returns next to its peers. Sector-wide trends across this peer group can help split company-level factors from broader forces.
 Risk & Return  Correlation

VANGUARD TOTAL Market Strength Events

Market strength indicators for VANGUARD TOTAL give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Vanguard Total Stock.

VANGUARD TOTAL Risk Indicators

A thorough review of VANGUARD TOTAL's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in VANGUARD TOTAL's allows investors to make better decisions about entry, sizing, and hedging.
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 TOTAL

The amount of media and story coverage tied to Vanguard Total Stock 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.