PIMCO STOCKSPLUS Mutual Fund Forward View - Triple Exponential Smoothing

PSLDX Fund  USD 16.55  -0.33  -1.95%   
The Triple Exponential Smoothing forecast reference data for PIMCO Stocksplus Long is based on the equity's recent trading history. This page summarizes the model output and key accuracy metrics for reference.
The Triple Exponential Smoothing forecasted value of PIMCO Stocksplus Long on the next trading day is expected to be 16.50 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.14.As with simple exponential smoothing, in triple exponential smoothing models past PIMCO STOCKSPLUS 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 PIMCO Stocksplus Long observations. All Triple Exponential Smoothing forecast figures shown for PIMCO Stocksplus Long are reference data reflecting model output based on available historical prices.
Triple exponential smoothing for PIMCO STOCKSPLUS - 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 PIMCO STOCKSPLUS 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 PIMCO STOCKSPLUS price movement. However, neither of these exponential smoothing models address any seasonality of PIMCO Stocksplus Long.

Triple Exponential Smoothing Price Forecast For the 21st of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of PIMCO Stocksplus Long on the next trading day is expected to be 16.50 with a mean absolute deviation of 0.14 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 8.14 .
Please note that although there have been many attempts to predict PIMCO 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 PIMCO STOCKSPLUS'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 PIMCO Stocksplus Long uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
16.55
16.50
Expected Value
17.49
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 PIMCO STOCKSPLUS mutual fund data series using in forecasting. Note that when a statistical model is used to represent PIMCO STOCKSPLUS 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 0.0347
MADMean absolute deviation0.138
MAPEMean absolute percentage error0.008
SAESum of the absolute errors8.1439
As with simple exponential smoothing, in triple exponential smoothing models past PIMCO STOCKSPLUS 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 PIMCO Stocksplus Long observations.

Other Forecasting Options for PIMCO STOCKSPLUS

Whether a novice or experienced investor, anyone considering PIMCO needs to understand the dynamics of PIMCO STOCKSPLUS's price movement. Price charts for PIMCO Mutual Fund contain a significant amount of noise that can distort investment decisions.

PIMCO STOCKSPLUS Related Equities

The following equities are related to PIMCO STOCKSPLUS within the Allocation--85%+ Equity space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing PIMCO STOCKSPLUS 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

PIMCO STOCKSPLUS Market Strength Events

Analyzing market strength indicators for PIMCO STOCKSPLUS enables investors to understand how the mutual fund performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in PIMCO Stocksplus Long.

PIMCO STOCKSPLUS Risk Indicators

Identifying and analyzing PIMCO STOCKSPLUS's key risk indicators is a foundational step in projecting how its price may evolve. This process quantifies the risk associated with PIMCO STOCKSPLUS's and decide how to manage 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 PIMCO STOCKSPLUS

The amount of media and story coverage tied to PIMCO Stocksplus Long can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.

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.