DUNHAM SMALL Mutual Fund Forward View
| DASVX Fund | USD 15.39 -0.06 -0.39% |
Momentum
Sell Peaked
Oversold | Overbought |
Hype-based context for Dunham Small Cap connects recent headlines with price response and peer activity.
The Naive Prediction forecasted value of Dunham Small Cap on the next trading day is expected to be 14.84 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.53.DUNHAM SMALL after-hype prediction price | $ 15.39 |
This sentiment layer is designed to be read with forecasting, technical, analyst, earnings, and momentum context.
DUNHAM |
DUNHAM SMALL Additional Predictive Modules
Forecasting DUNHAM SMALL's price movement relies on structured analysis of indicator behavior, momentum signatures, and historical volatility patterns. Backtested accuracy does not guarantee forward performance - market structure and volatility regimes evolve.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Naive Prediction Price Forecast For the 18th of March 2026
Given 90 days horizon, the Naive Prediction forecasted value of Dunham Small Cap on the next trading day is expected to be 14.84 with a mean absolute deviation of 0.14 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 8.53 .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 SMALL'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 SMALL | DUNHAM SMALL Price Prediction | Research Analysis |
Forecasted Value
Forecasting Dunham Small Cap for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of DUNHAM SMALL mutual fund data series using in forecasting. Note that when a statistical model is used to represent DUNHAM SMALL 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 | 114.5398 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1398 |
| MAPE | Mean absolute percentage error | 0.0089 |
| SAE | Sum of the absolute errors | 8.5299 |
Valuation-driven investors use mean reversion to time DUNHAM SMALL's investments: buying when it trades materially below its historical average valuation multiples and selling when it reaches premium territory.
After-Hype Price Density Analysis
The price distribution chart for DUNHAM SMALL visualizes our statistical uncertainty about DUNHAM SMALL's future price. This uncertainty is inherent in all forecasting, and any model claiming to eliminate it for DUNHAM SMALL should be viewed with skepticism.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Our news impact model for DUNHAM SMALL estimates the statistical distribution of after-hype price outcomes based on DUNHAM SMALL's historical reactions to comparable events. DUNHAM SMALL's after-hype downside and upside margins for the prediction period are 14.14 and 16.64, respectively. The model is descriptive rather than predictive and reflects what has historically happened - not what will.
Current Value
Macroaxis estimates the after-hype price of Dunham Small Cap across a 3 months horizon to evaluate where the instrument could settle once headline distortion subsides. Used correctly, the estimate adds context around potential normalization rather than promising a specific realized outcome.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as DUNHAM SMALL is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DUNHAM SMALL 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 SMALL, 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 |
0.13 | 1.26 | 0.01 | 0.39 | 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 | |
15.39 | 15.39 | 0.00 |
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Hype Timeline
Dunham Small Cap is currently traded for 15.39. The fund has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.39. DUNHAM is anticipated 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 anticipated to be very small, whereas the daily expected return is currently at 0.13%. %. The volatility of related hype on DUNHAM SMALL is about 42.16%, with the expected price after the next announcement by competition of 15.00. The fund has price-to-book (P/B) ratio of 1.43. Some equities with similar Price to Book (P/B) outperform the market in the long run. Dunham Small Cap had its last dividend issued on the 27th of December 1970. Assuming a 90-day horizon the next anticipated press release will be in a few days. Historical Fundamental Analysis of DUNHAM SMALL can be used to cross-verify projections for DUNHAM SMALL. The view supplies historical context for the projection discussion.Related Hype Analysis
The peer hype summary table for DUNHAM SMALL serves as a competitive intelligence tool, helping investors understand the news sensitivity landscape around DUNHAM SMALL's sector and identify the companies most likely to influence DUNHAM SMALL's near-term performance.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SCPAX | Siit Large Cap | -9.88 | 5 per month | 0.56 | 0.12 | 0.95 | -1.27 | 15.66 | |
| SMVLX | Smead Value Fund | -0.46 | 1 per month | 0.70 | 0.11 | 1.90 | -1.38 | 3.74 | |
| DOXGX | Dodge Cox Stock | 0.00 | 0 per month | 0.72 | 0.06 | 1.24 | -1.28 | 3.26 | |
| TACLX | Touchstone Large Cap | 0.00 | 2 per month | 0.67 | 0.10 | 1.22 | -1.01 | 5.12 | |
| TWQZX | Transamerica Large Cap | -10.67 | 2 per month | 0.61 | 0.16 | 1.31 | -1.40 | 3.77 | |
| QCLVX | Federated Mdt Large | 0.09 | 2 per month | 0.57 | 0.14 | 1.58 | -1.13 | 7.99 | |
| DHLAX | Diamond Hill Large | 0.00 | 0 per month | 0.74 | 0.05 | 1.31 | -1.47 | 3.37 |
Other Forecasting Options for DUNHAM SMALL
Price movement is the most critical factor for any investor assessing the potential of DUNHAM as an investment. The noise inherent in DUNHAM Mutual Fund price charts can obscure the underlying direction and make investment decisions more challenging.DUNHAM SMALL Related Equities
The following equities are related to DUNHAM SMALL within the Small Value space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing DUNHAM SMALL 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 SMALL Market Strength Events
For investors in Dunham Small Cap, market strength indicators provide essential context about how the mutual fund responds to prevailing market trends. These tools support more informed decisions about when to trade DUNHAM SMALL for maximum effect.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.39 | |||
| Day Typical Price | 15.39 | |||
| Price Action Indicator | -0.03 | |||
| Period Momentum Indicator | -0.06 |
DUNHAM SMALL Risk Indicators
Identifying and analyzing DUNHAM SMALL's risk indicators provides investors with important context for price forecasting and investment decision-making. By understanding how much risk is embedded in DUNHAM SMALL's investment, investors can make better choices about position sizing,.
| Mean Deviation | 0.8618 | |||
| Semi Deviation | 0.935 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.54 | |||
| Downside Variance | 1.19 | |||
| Semi Variance | 0.8743 | |||
| Expected Short fall | -0.94 |
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 SMALL
Story coverage around Dunham Small Cap 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 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.