PACE LARGE Mutual Fund Forward View - Triple Exponential Smoothing

PCLVX Fund  USD 21.54  0.11  0.51%   
This reference view applies Triple Exponential Smoothing to Pace Large Value's historical closing prices. Pace Large Value'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 Pace Large Value on the next trading day is expected to be 21.46 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.56.As with simple exponential smoothing, in triple exponential smoothing models past PACE LARGE 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 Pace Large Value observations. All forecast values on this page for Pace Large Value are Triple Exponential Smoothing reference data derived from historical price series.
Triple exponential smoothing for PACE LARGE - 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 PACE LARGE 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 PACE LARGE price movement. However, neither of these exponential smoothing models address any seasonality of Pace Large Value.

Triple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Pace Large Value on the next trading day is expected to be 21.46 with a mean absolute deviation of 0.13 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 7.56 .
Please note that although there have been many attempts to predict PACE 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 PACE LARGE'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

The next-day forecast for Pace Large Value focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 20.75 on the downside to about 22.17 on the upside.
Market Value
21.54
21.46
Expected Value
22.17
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 PACE LARGE mutual fund data series using in forecasting. Note that when a statistical model is used to represent PACE LARGE 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 -0.0045
MADMean absolute deviation0.1282
MAPEMean absolute percentage error0.0058
SAESum of the absolute errors7.5637
As with simple exponential smoothing, in triple exponential smoothing models past PACE LARGE 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 Pace Large Value observations.

Other Forecasting Options for PACE LARGE

Volume-weighted price analysis for PACE 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 PACE momentum before they appear in raw price.

PACE LARGE Related Equities

Investors studying PACE LARGE often look at related stocks within the Large Value space to gauge pricing and results. Profit comparisons show whether PACE LARGE earns above or below average returns next to its peers.
 Risk & Return  Correlation

PACE LARGE Market Strength Events

Evaluating the market strength of PACE LARGE mutual fund allows investors to gauge shifts in market momentum. Monitoring these indicators highlights periods where Pace Large Value trading conditions shift meaningfully.

PACE LARGE Risk Indicators

Understanding PACE LARGE's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in PACE LARGE'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 PACE LARGE

Story coverage around Pace Large Value 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 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.