DUNHAM EMERGING Mutual Fund Forward View - Double Exponential Smoothing
| DNEMX Fund | USD 18.72 -0.69 -3.55% |
Momentum
Impartial
Oversold | Overbought |
The summary frames DUNHAM EMERGING's price response to attention shifts and peer coverage.
The Double Exponential Smoothing forecasted value of Dunham Emerging Markets on the next trading day is expected to be 18.68 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.43.DUNHAM EMERGING after-hype prediction price | $ 18.72 |
This analysis adds an attention layer to forecasting, technical studies, analyst estimates, and earnings views.
DUNHAM |
DUNHAM EMERGING Additional Predictive Modules
Most predictive techniques to examine DUNHAM price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DUNHAM using various technical indicators. When you analyze DUNHAM 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 | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Volatility Indicators | ||
| Volume Indicators |
Double Exponential Smoothing Price Forecast For the 14th of March 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Dunham Emerging Markets on the next trading day is expected to be 18.68 with a mean absolute deviation of 0.21 , mean absolute percentage error of 0.08 , and the sum of the absolute errors of 12.43 .Please note that although there have been many attempts to predict DUNHAM 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 DUNHAM 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 DUNHAM EMERGING | DUNHAM EMERGING Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Dunham 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of DUNHAM EMERGING mutual fund data series using in forecasting. Note that when a statistical model is used to represent DUNHAM 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 | Huge |
| Bias | Arithmetic mean of the errors | -1.0E-4 |
| MAD | Mean absolute deviation | 0.2071 |
| MAPE | Mean absolute percentage error | 0.0109 |
| SAE | Sum of the absolute errors | 12.4272 |
While mean reversion in DUNHAM EMERGING is a statistically observable tendency, it operates on uncertain timelines. Positions sized too aggressively against the trend can suffer sustained losses before reversion occurs.
After-Hype Price Density Analysis
One key insight from DUNHAM EMERGING's price distribution analysis is that the most likely single outcome - the mode - is not necessarily the most important. The width and shape of DUNHAM EMERGING's distribution determine how often extreme deviations from the central forecast occur.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical analysis of DUNHAM EMERGING reveals distinct patterns in how DUNHAM EMERGING's price responds to different categories of news. DUNHAM EMERGING's after-hype downside and upside margins for the prediction period are 17.31 and 20.13, respectively. The most informative signals come from news categories where DUNHAM EMERGING has shown consistent and predictable historical reactions.
Current Value
The after-hype framework applied to Dunham 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 DUNHAM EMERGING is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DUNHAM 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 DUNHAM 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 |
0.17 | 1.42 | 1.27 | 0.94 | 3 Events | 1 Events | In 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
18.72 | 18.72 | 0.00 |
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Hype Timeline
Dunham Emerging Markets is currently traded for 18.72. The fund has historical hype elasticity of -1.27, and average elasticity to hype of competition of -0.94. DUNHAM is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 19.01%. The immediate return on the next news is expected to be very small, whereas the daily expected return is currently at 0.17%. %. The volatility of related hype on DUNHAM EMERGING is about 25.59%, with the expected price after the next announcement by competition of 17.78. The fund has price-to-book (P/B) ratio of 1.24. Some equities with similar Price to Book (P/B) outperform the market in the long run. Dunham Emerging Markets last dividend was issued on the 27th of December 2019. Assuming a 90-day horizon the next expected press release will be in 3 days. Historical Fundamental Analysis of DUNHAM EMERGING can be used to cross-verify projections for DUNHAM EMERGING. The view supplies historical context for the projection discussion.Related Hype Analysis
Tracking the hype elasticity of DUNHAM EMERGING's direct competitors provides a quantified measure of how much news about other companies in the sector affects DUNHAM EMERGING's short-term price behavior.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| WIIBX | Westcore Plus Bond | 0.02 | 1 per month | 0.15 | 0.22 | 0.32 | -0.32 | 1.06 | |
| VMLTX | Vanguard Limited Term Tax Exempt | 0.01 | 2 per month | 0.00 | 0.62 | 0.09 | -0.09 | 0.55 | |
| ABVCX | Ab Value Fund | -1.54 | 2 per month | 0.52 | 0.16 | 1.65 | -1.36 | 11.31 | |
| CNGLX | Commonwealth Global Fund | 0.00 | 0 per month | 0.81 | 0.06 | 1.15 | -1.40 | 5.54 | |
| NQQQX | Shelton Funds | 0.00 | 0 per month | 0.00 | 0.01 | 1.40 | -1.88 | 4.19 | |
| NDXKX | Nasdaq 100 Index Fund | -31.78 | 3 per month | 0.00 | -0.03 | 1.40 | -1.89 | 4.18 |
Other Forecasting Options for DUNHAM EMERGING
Any investor evaluating DUNHAM must grapple with the challenge of interpreting DUNHAM EMERGING's price movement accurately. DUNHAM Mutual Fund price charts typically contain substantial noise that can complicate analysis and lead to poor decisions.DUNHAM EMERGING Related Equities
The following equities are related to DUNHAM EMERGING within the Diversified Emerging Mkts space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing DUNHAM 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 |
DUNHAM EMERGING Market Strength Events
Market strength indicators for DUNHAM EMERGING assess how the mutual fund responds to ongoing changes in market conditions and investor sentiment. By monitoring these indicators, investors can identify the most opportune moments to trade Dunham Emerging Markets.
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 18.72 | |||
| Day Typical Price | 18.72 | |||
| Price Action Indicator | -0.35 | |||
| Period Momentum Indicator | -0.69 | |||
| Relative Strength Index | 46.61 |
DUNHAM EMERGING Risk Indicators
Risk indicator analysis for DUNHAM EMERGING is a critical component of accurate price forecasting and sound investment decision-making. By identifying how much risk is embedded in DUNHAM EMERGING's investment, investors can decide how to position and protect their exposure.
| Mean Deviation | 0.9998 | |||
| Semi Deviation | 1.47 | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.88 | |||
| Downside Variance | 2.49 | |||
| Semi Variance | 2.16 | |||
| Expected Short fall | -1.02 |
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 DUNHAM EMERGING
Coverage intensity for Dunham 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.