DEAN MID Mutual Fund Forward View - Simple Regression
| DALCX Fund | USD 28.12 -0.13 -0.46% |
Momentum
Impartial
Oversold | Overbought |
This section relates Dean Mid Cap headline activity to recent price behavior and peer context.
The Simple Regression forecasted value of Dean Mid Cap on the next trading day is expected to be 29.79 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.78.DEAN MID after-hype prediction price | $ 28.12 |
Hype signals are presented as complementary context to forecasting, technicals, analyst estimates, earnings, and momentum.
DEAN |
DEAN MID Additional Predictive Modules
Most predictive techniques to examine DEAN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DEAN using various technical indicators. When you analyze DEAN 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 |
DEAN MID Simple Regression Price Forecast For the 13th of March 2026
Given 90 days horizon, the Simple Regression forecasted value of Dean Mid Cap on the next trading day is expected to be 29.79 with a mean absolute deviation of 0.45 , mean absolute percentage error of 0.36 , and the sum of the absolute errors of 27.78 .Please note that although there have been many attempts to predict DEAN 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 DEAN MID's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
DEAN MID Mutual Fund Forecast Pattern
| Backtest DEAN MID | DEAN MID Price Prediction | Research Analysis |
DEAN MID Forecasted Value
This next-day forecast for Dean Mid Cap 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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of DEAN MID mutual fund data series using in forecasting. Note that when a statistical model is used to represent DEAN MID 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 | 118.9162 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.448 |
| MAPE | Mean absolute percentage error | 0.0157 |
| SAE | Sum of the absolute errors | 27.7775 |
The concept of mean reversion suggests that DEAN MID's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
DEAN MID After-Hype Price Density Analysis
The price distribution graph for DEAN MID visualizes the statistical uncertainty around our prediction model's output. Investors should interpret the full distribution of DEAN MID's outcomes, not just the central tendency, when making decisions.
Next price density |
| Expected price to next headline |
DEAN MID Estimiated After-Hype Price Volatility
The downside and upside margins for DEAN MID after major news events are estimated from historical precedent. DEAN MID's after-hype downside and upside margins for the prediction period are 27.30 and 28.94, respectively. This approach captures the empirical distribution of DEAN MID's short-term price reactions without assuming any particular model of future behavior.
Current Value
The after-hype framework applied to Dean Mid Cap 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.
DEAN MID Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as DEAN MID is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DEAN MID 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 DEAN MID, 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 |
0.09 | 0.82 | 0.01 | 0.50 | 8 Events | 2 Events | In 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
28.12 | 28.12 | 0.00 |
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DEAN MID Hype Timeline
Dean Mid Cap is currently traded for 28.12. The fund has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.5. DEAN 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.09%. %. The volatility of related hype on DEAN MID is about 14.77%, with the expected price after the next announcement by competition of 28.62. The fund last dividend was issued on the 12th of December 2019. Assuming a 90-day horizon the next forecasted press release will be in 8 days. Use Historical Fundamental Analysis of DEAN MID to cross-verify projections for DEAN MID. The historical view provides additional context.DEAN MID Related Hype Analysis
The relationship between DEAN MID and its sector peers means that news affecting one company often reverberates across DEAN MID's competitive landscape. Tracking peer hype helps investors anticipate DEAN MID's likely short-term price behavior.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CRMAX | Crm Smallmid Cap | 10.43 | 4 per month | 0.00 | 0.01 | 1.76 | -2.20 | 6.24 | |
| DOPIX | Dreyfus Opportunistic Small | 0.00 | 0 per month | 0.45 | 0.19 | 1.76 | -1.43 | 4.70 | |
| MISFX | Matthews Asia Esg | 0.00 | 0 per month | 1.13 | 0.19 | 2.30 | -1.42 | 8.43 | |
| MAIPX | Mai Managed Volatility | 0.08 | 13 per month | 0.19 | 0.07 | 0.30 | -0.36 | 1.09 | |
| MIAPX | Matthews Asia Growth | 0.26 | 1 per month | 1.26 | 0.14 | 2.05 | -1.55 | 9.08 | |
| SILVX | Summit Global Investments | 0.08 | 8 per month | 0.43 | 0.16 | 1.06 | -0.79 | 2.65 | |
| DIVPX | Mai Managed Volatility | 0.00 | 0 per month | 0.20 | 0.07 | 0.34 | -0.40 | 1.03 | |
| SPEDX | Alger Dynamic Opportunities | -0.05 | 2 per month | 0.00 | -0.1 | 1.08 | -1.47 | 3.19 | |
| INPIX | Internet Ultrasector Profund | -0.10 | 1 per month | 0.00 | -0.12 | 2.54 | -3.50 | 8.08 | |
| BRLVX | American Beacon Bridgeway | 44.83 | 2 per month | 0.67 | 0.11 | 1.35 | -1.42 | 4.50 |
Other Forecasting Options for DEAN MID
Whether a novice or experienced investor, anyone considering DEAN needs to understand the dynamics of DEAN MID's price movement. Price charts for DEAN Mutual Fund contain a significant amount of noise that can distort investment decisions.DEAN MID Related Equities
The following equities are related to DEAN MID within the Mid-Cap Value space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing DEAN MID 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 |
DEAN MID Market Strength Events
Analyzing market strength indicators for DEAN MID 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 Dean Mid Cap.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 28.12 | |||
| Day Typical Price | 28.12 | |||
| Price Action Indicator | -0.07 | |||
| Period Momentum Indicator | -0.13 | |||
| Relative Strength Index | 45.13 |
DEAN MID Risk Indicators
Identifying and analyzing DEAN MID's key risk indicators is a foundational step in projecting how its price may evolve. This process helps investors quantify the risk associated with DEAN MID's and decide how to manage it.
| Mean Deviation | 0.6195 | |||
| Semi Deviation | 0.7732 | |||
| Standard Deviation | 0.8344 | |||
| Variance | 0.6962 | |||
| Downside Variance | 0.806 | |||
| Semi Variance | 0.5978 | |||
| Expected Short fall | -0.63 |
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 DEAN MID
Coverage intensity for Dean Mid Cap 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.