PACIFIC FUNDS Mutual Fund Forward View - Double Exponential Smoothing
| PLDSX Fund | USD 10.25 -0.02 -0.19% |
Momentum
Sell Extended
Oversold | Overbought |
This section provides headline-driven context for Pacific Funds Short alongside peer activity.
The Double Exponential Smoothing forecasted value of Pacific Funds Short on the next trading day is expected to be 10.25 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.31.PACIFIC FUNDS after-hype prediction price | $ 10.25 |
The sentiment view is a companion to forecasting, technical studies, analyst estimates, and earnings trends.
PACIFIC |
PACIFIC FUNDS Additional Predictive Modules
Most predictive techniques to examine PACIFIC price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PACIFIC using various technical indicators. When you analyze PACIFIC charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Double Exponential Smoothing Price Forecast For the 17th of March 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Pacific Funds Short on the next trading day is expected to be 10.25 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.000066 , and the sum of the absolute errors of 0.31 .Please note that although there have been many attempts to predict PACIFIC 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 PACIFIC FUNDS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest PACIFIC FUNDS | PACIFIC FUNDS Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates PACIFIC FUNDS's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 10.17 and upside around 10.33 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of PACIFIC FUNDS mutual fund data series using in forecasting. Note that when a statistical model is used to represent PACIFIC FUNDS 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -5.0E-4 |
| MAD | Mean absolute deviation | 0.0053 |
| MAPE | Mean absolute percentage error | 5.0E-4 |
| SAE | Sum of the absolute errors | 0.31 |
Mean reversion in PACIFIC FUNDS is more reliable over longer time horizons. Short-term deviations can persist and even widen before correcting, making position sizing and risk management critical.
After-Hype Price Density Analysis
Investors who rely solely on expected value estimates for PACIFIC FUNDS miss the full picture. PACIFIC FUNDS's probability distribution reveals that expected value can be achieved through very different combinations of outcomes, each with different risk implications.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The after-news price analysis for PACIFIC FUNDS is built on the observation that PACIFIC FUNDS's market reactions to news are not random but follow recognizable patterns. PACIFIC FUNDS's after-hype downside and upside margins for the prediction period are 10.17 and 10.33, respectively. Identifying and quantifying these patterns for PACIFIC FUNDS is the core purpose of this model.
Current Value
This after-hype projection for Pacific Funds Short uses a 3 months horizon to examine how price may behave after short-term sentiment effects dissipate. The practical value is that it frames how far price could retrace or stabilize once the headline cycle loses intensity.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as PACIFIC FUNDS is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PACIFIC FUNDS backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with PACIFIC FUNDS, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.08 | 0.00 | 0.00 | 2 Events | 1 Events | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
10.25 | 10.25 | 0.00 |
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Hype Timeline
Pacific Funds Short is at this time traded for 10.25. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. PACIFIC is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on PACIFIC FUNDS is about 77.78%, with the expected price after the next announcement by competition of 10.25. Assuming a 90-day horizon the next projected press release will be in a few days. Use Historical Fundamental Analysis of PACIFIC FUNDS to cross-verify projections for PACIFIC FUNDS. The view provides historical context for the projection set.Related Hype Analysis
The information ratio and semi-deviation metrics in the peer comparison table for PACIFIC FUNDS provide a risk-adjusted view of how efficiently PACIFIC FUNDS's competitors convert news exposure into returns relative to downside risk.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FREEX | Franklin Real Estate | 0.92 | 5 per month | 0.68 | 0.18 | 1.37 | -1.11 | 3.19 | |
| MXREX | Great West Real Estate | 0.00 | 0 per month | 0.66 | 0.20 | 1.31 | -1.20 | 3.18 | |
| FRLAX | Franklin Real Estate | -0.12 | 5 per month | 0.69 | 0.18 | 1.40 | -1.08 | 3.18 | |
| JABFX | Jhancock Real Estate | 0.00 | 0 per month | 0.64 | 0.16 | 1.12 | -1.20 | 3.50 | |
| PRKAX | Prudential Real Estate | 0.01 | 1 per month | 0.41 | 0.25 | 0.94 | -0.92 | 4.51 | |
| FREAX | Nuveen Real Estate | -0.09 | 1 per month | 0.54 | 0.22 | 1.53 | -1.04 | 5.07 | |
| AGREX | Invesco Global Real | 0.00 | 0 per month | 0.66 | 0.18 | 1.03 | -1.13 | 2.96 |
Other Forecasting Options for PACIFIC FUNDS
For investors considering PACIFIC, PACIFIC FUNDS's price movement is the most direct driver of investment returns. Noise in PACIFIC Mutual Fund price charts can make identifying meaningful trends difficult without dedicated analytical tools.PACIFIC FUNDS Related Equities
The following equities are related to PACIFIC FUNDS within the Short-Term Bond space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing PACIFIC FUNDS 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 |
PACIFIC FUNDS Market Strength Events
Market strength indicators for PACIFIC FUNDS provide investors with a view of how the mutual fund performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Pacific Funds Short.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 10.25 | |||
| Day Typical Price | 10.25 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | -0.02 | |||
| Relative Strength Index | 42.76 |
PACIFIC FUNDS Risk Indicators
A structured analysis of PACIFIC FUNDS's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in PACIFIC FUNDS's allows investors to decide whether to accept, reduce, or hedge their exposure.
| Mean Deviation | 0.0569 | |||
| Standard Deviation | 0.0797 | |||
| Variance | 0.0063 | |||
| Downside Variance | 0.015 | |||
| Semi Variance | -0.01 | |||
| Expected Short fall | -0.11 |
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 PACIFIC FUNDS
Story coverage around Pacific Funds Short often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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.