Delaware Emerging Mutual Fund Forward View - Polynomial Regression
| DEMZX Fund | USD 37.30 -2.35 -5.93% |
Momentum
Impartial
Oversold | Overbought |
This view frames how Delaware Emerging Markets responds to recent headlines and peer activity within its market context.
The Polynomial Regression forecasted value of Delaware Emerging Markets on the next trading day is expected to be 37.22 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 59.44.Delaware Emerging after-hype prediction price | $ 37.3 |
Sentiment indicators are one input among forecasting models, technical signals, analyst estimates, earnings data, and momentum measures.
Delaware |
Delaware Emerging Additional Predictive Modules
Most predictive techniques to examine Delaware price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Delaware using various technical indicators. When you analyze Delaware 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 |
Polynomial Regression Price Forecast For the 14th of March 2026
Given 90 days horizon, the Polynomial Regression forecasted value of Delaware Emerging Markets on the next trading day is expected to be 37.22 with a mean absolute deviation of 0.96 , mean absolute percentage error of 1.56 , and the sum of the absolute errors of 59.44 .Please note that although there have been many attempts to predict Delaware 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 Delaware Emerging's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Delaware Emerging | Delaware Emerging Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Delaware Emerging Markets uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Delaware Emerging mutual fund data series using in forecasting. Note that when a statistical model is used to represent Delaware Emerging 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 | 120.3901 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9587 |
| MAPE | Mean absolute percentage error | 0.0255 |
| SAE | Sum of the absolute errors | 59.4423 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Delaware Emerging's price to converge to an average value over time is called mean reversion.
After-Hype Price Density Analysis
As far as predicting the price of Delaware Emerging at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
In the context of predicting Delaware Emerging's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Delaware Emerging's historical news coverage.
Current Value
The after-hype framework applied to Delaware Emerging Markets assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as Delaware Emerging is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Delaware Emerging 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 Delaware Emerging, 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 |
0.47 | 2.62 | 0.00 | 3.00 | 0 Events | 1 Events | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
37.30 | 37.30 | 0.00 |
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Hype Timeline
Delaware Emerging Markets is currently traded for 37.30. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 3.0. Delaware is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.47%. %. The volatility of related hype on Delaware Emerging is about 41.03%, with the expected price after the next announcement by competition of 40.30. The fund last dividend was issued on the 19th of December 2019. Assuming a 90-day horizon the next forecasted press release will be in a few days. Use Historical Fundamental Analysis of Delaware Emerging to cross-verify projections for Delaware Emerging. The view provides historical context for the projection set.Related Hype Analysis
Having access to credible news sources related to Delaware Emerging's direct competition is more important than ever and may enhance your ability to predict Delaware Emerging's future price movements. Getting to know how Delaware Emerging's peers react to changing market sentiment, related social.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FSHGX | Fidelity Sai High | 0.00 | 0 per month | 0.00 | 0.36 | 0.21 | -0.21 | 0.85 | |
| FHYIX | Franklin High Yield | 0.01 | 2 per month | 0.03 | 0.38 | 0.22 | -0.22 | 1.09 | |
| FPIOX | Strategic Advisers Income | 44.67 | 5 per month | 0.00 | 0.34 | 0.23 | -0.22 | 1.01 | |
| PHDTX | Pace High Yield | 0.01 | 1 per month | 0.07 | 0.37 | 0.11 | -0.22 | 0.55 | |
| BUFHX | Buffalo High Yield | 0.00 | 0 per month | 0.02 | 0.36 | 0.19 | -0.19 | 0.57 | |
| PRFHX | T Rowe Price | 0.01 | 1 per month | 0.04 | 0.34 | 0.27 | -0.27 | 1.17 | |
| PATFX | T Rowe Price | 0.00 | 0 per month | 0.09 | 0.33 | 0.27 | -0.27 | 1.07 |
Other Forecasting Options for Delaware Emerging
For every potential investor in Delaware, whether a beginner or expert, Delaware Emerging's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.Delaware Emerging Related Equities
The following equities are related to Delaware Emerging within the Diversified Emerging Mkts space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Delaware Emerging 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 |
Delaware Emerging Market Strength Events
Market strength indicators help investors to evaluate how Delaware Emerging mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Delaware Emerging shares will generate the highest return on.
| Rate Of Daily Change | 0.94 | |||
| Day Median Price | 37.3 | |||
| Day Typical Price | 37.3 | |||
| Price Action Indicator | -1.18 | |||
| Period Momentum Indicator | -2.35 | |||
| Relative Strength Index | 50.16 |
Delaware Emerging Risk Indicators
The analysis of Delaware Emerging's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Delaware Emerging's investment and either accepting that risk or mitigating it.
| Mean Deviation | 1.8 | |||
| Semi Deviation | 2.82 | |||
| Standard Deviation | 2.57 | |||
| Variance | 6.62 | |||
| Downside Variance | 12.83 | |||
| Semi Variance | 7.94 | |||
| Expected Short fall | -1.73 |
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 Delaware Emerging
Coverage intensity for Delaware Emerging Markets matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.