DoubleLine Income Mutual Fund Forward View - Simple Exponential Smoothing
| DBLIX Fund | USD 7.94 0.00 0.00% |
Momentum
Sell Peaked
Oversold | Overbought |
The hype perspective for Doubleline Income maps headline activity to recent price response and peer coverage.
The Simple Exponential Smoothing forecasted value of Doubleline Income on the next trading day is expected to be 7.94 with a mean absolute deviation of 0.0032 and the sum of the absolute errors of 0.19.DoubleLine Income after-hype prediction price | $ 7.94 |
Sentiment metrics here complement forecasting and technical views with analyst and earnings context.
DoubleLine |
DoubleLine Income Additional Predictive Modules
Most predictive techniques to examine DoubleLine price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for DoubleLine using various technical indicators. When you analyze DoubleLine 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 |
Simple Exponential Smoothing Price Forecast For the 16th of March 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Doubleline Income on the next trading day is expected to be 7.94 with a mean absolute deviation of 0.0032 , mean absolute percentage error of 0.00003 , and the sum of the absolute errors of 0.19 .Please note that although there have been many attempts to predict DoubleLine 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 DoubleLine Income's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest DoubleLine Income | DoubleLine Income Price Prediction | Research Analysis |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of DoubleLine Income mutual fund data series using in forecasting. Note that when a statistical model is used to represent DoubleLine Income 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 | 105.8633 |
| Bias | Arithmetic mean of the errors | -6.0E-4 |
| MAD | Mean absolute deviation | 0.0032 |
| MAPE | Mean absolute percentage error | 4.0E-4 |
| SAE | Sum of the absolute errors | 0.1902 |
The mean reversion principle applied to DoubleLine Income's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
After-Hype Price Density Analysis
Probability distributions applied to DoubleLine Income price forecasting provide a more honest representation of uncertainty than single point estimates. The shape of DoubleLine Income's distribution - whether it is symmetric, skewed, or fat-tailed - carries important information for risk.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
News-driven price analysis for DoubleLine Income quantifies the historical relationship between headline events and DoubleLine Income's short-term price response. DoubleLine Income's after-hype downside and upside margins for the prediction period are 7.87 and 8.01, respectively. The strength of this signal depends on the consistency of DoubleLine Income's past reactions to comparable news categories.
Current Value
The after-hype framework applied to Doubleline Income 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 DoubleLine Income is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading DoubleLine Income 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 DoubleLine Income, 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 |
0.01 | 0.07 | 0.00 | 0.01 | 8 Events | 1 Events | In 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
7.94 | 7.94 | 0.00 |
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Hype Timeline
Doubleline Income is currently traded for 7.94. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. DoubleLine 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 0.01%. %. The volatility of related hype on DoubleLine Income is about 7.45%, with the expected price after the next announcement by competition of 7.95. Assuming a 90-day horizon the next forecasted press release will be in 8 days. Investing Opportunities provides context for diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.Related Hype Analysis
When a direct competitor of DoubleLine Income experiences a significant news event, the market often re-rates DoubleLine Income's shares in sympathy or in contrast, depending on whether the news affects the sector broadly or competitively.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DLCMX | Doubleline Strategic Modity | 0.00 | 1 per month | 0.57 | 0.35 | 2.02 | -1.23 | 3.96 | |
| DLENX | Doubleline Emerging Markets | 0.00 | 0 per month | 0.00 | 0.45 | 0.11 | -0.11 | 0.33 | |
| DLELX | Doubleline Emerging Markets | 9.42 | 5 per month | 0.00 | 0.06 | 0.62 | -1.11 | 2.74 | |
| DLFRX | Doubleline Floating Rate | 0.00 | 0 per month | 0.00 | 0.69 | 0.11 | -0.11 | 0.22 | |
| DLFNX | Doubleline E Fixed | 0.00 | 0 per month | 0.17 | 0.20 | 0.32 | -0.32 | 0.86 | |
| DLEUX | Doubleline Shiller Enhanced | 0.03 | 1 per month | 0.77 | 0.18 | 1.40 | -1.39 | 4.34 | |
| DLGBX | Doubleline Global Bond | 0.00 | 0 per month | 0.00 | 0.07 | 0.45 | -0.78 | 1.69 | |
| DLINX | Doubleline Flexible Income | -0.03 | 5 per month | 0.00 | 0.54 | 0.12 | -0.12 | 0.34 | |
| DLLDX | Doubleline Long Duration | -0.03 | 1 per month | 0.44 | 0.09 | 0.80 | -0.92 | 2.37 | |
| DLSNX | Doubleline Low Duration | 0.00 | 1 per month | 0.00 | 0.74 | 0.10 | -0.10 | 0.31 |
DoubleLine Income Related Equities
The following equities are related to DoubleLine Income within the Multisector Bond space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing DoubleLine Income 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 |
DoubleLine Income Market Strength Events
Market strength indicators for DoubleLine Income give investors insight into the mutual fund's responsiveness to broader market forces. Tracking these indicators helps investors make informed timing decisions and identify periods where trading DoubleLine Income is likely to be most rewarding.
DoubleLine Income Risk Indicators
A thorough review of DoubleLine Income's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis helps investors determine the appropriate level of risk to accept when holding DoubleLine Income's.
| Mean Deviation | 0.0424 | |||
| Standard Deviation | 0.071 | |||
| Variance | 0.005 | |||
| Downside Variance | 0.0285 | |||
| Semi Variance | -0.01 | |||
| Expected Short fall | -0.13 |
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 DoubleLine Income
Coverage intensity for Doubleline Income 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.