Duff Fund Forecast - Double Exponential Smoothing
| DPG Fund | USD 13.43 0.17 1.28% |
Duff Fund outlook is based on your current time horizon. We recommend always using this module together with an analysis of Duff's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Duff's fund price is roughly 64 suggesting that the fund is rather overbought by investors as of 28th of January 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Duff, making its price go up or down. Momentum 64
Buy Extended
Oversold | Overbought |
Using Duff hype-based prediction, you can estimate the value of Duff And Phelps from the perspective of Duff response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Duff And Phelps on the next trading day is expected to be 13.48 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.85. Duff after-hype prediction price | USD 13.38 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Duff |
Duff Additional Predictive Modules
Most predictive techniques to examine Duff price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Duff using various technical indicators. When you analyze Duff 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 |
Duff Double Exponential Smoothing Price Forecast For the 29th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Duff And Phelps on the next trading day is expected to be 13.48 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.85.Please note that although there have been many attempts to predict Duff Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Duff's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Duff Fund Forecast Pattern
| Backtest Duff | Duff Price Prediction | Buy or Sell Advice |
Duff Forecasted Value
In the context of forecasting Duff's Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Duff's downside and upside margins for the forecasting period are 12.72 and 14.24, respectively. We have considered Duff's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
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 Duff fund data series using in forecasting. Note that when a statistical model is used to represent Duff 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 | -0.0184 |
| MAD | Mean absolute deviation | 0.0808 |
| MAPE | Mean absolute percentage error | 0.0063 |
| SAE | Sum of the absolute errors | 4.8492 |
Predictive Modules for Duff
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Duff And Phelps. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Duff After-Hype Price Density Analysis
As far as predicting the price of Duff at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Duff or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Fund prices, such as prices of Duff, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Duff Estimiated After-Hype Price Volatility
In the context of predicting Duff's fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Duff's historical news coverage. Duff's after-hype downside and upside margins for the prediction period are 12.62 and 14.14, respectively. We have considered Duff's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Duff is very steady at this time. Analysis and calculation of next after-hype price of Duff And Phelps is based on 3 months time horizon.
Duff Fund Price Outlook Analysis
Have you ever been surprised when a price of a Fund such as Duff is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Duff 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 Duff, 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 |
0.08 | 0.76 | 0.05 | 0.02 | 2 Events / Month | 4 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
13.43 | 13.38 | 0.37 |
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Duff Hype Timeline
On the 28th of January Duff And Phelps is traded for 13.43. The entity has historical hype elasticity of -0.05, and average elasticity to hype of competition of -0.02. Duff is projected to decline in value after the next headline, with the price expected to drop to 13.38. The average volatility of media hype impact on the company price is about 128.81%. The price depreciation on the next news is expected to be -0.37%, whereas the daily expected return is currently at 0.08%. The volatility of related hype on Duff is about 397.91%, with the expected price after the next announcement by competition of 13.41. The company last dividend was issued on the 14th of December 2022. Considering the 90-day investment horizon the next projected press release will be in a few days. Check out Historical Fundamental Analysis of Duff to cross-verify your projections.Duff Related Hype Analysis
Having access to credible news sources related to Duff's direct competition is more important than ever and may enhance your ability to predict Duff's future price movements. Getting to know how Duff's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Duff may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| OISGX | Optimum Small Mid Cap | (0.59) | 2 per month | 1.03 | 0.05 | 1.76 | (1.86) | 5.16 | |
| SPPP | Sprott Physical Platinum | (0.35) | 2 per month | 2.85 | 0.20 | 6.99 | (4.01) | 24.65 | |
| GUT | Gabelli Utility Closed | (0.59) | 7 per month | 0.90 | 0.02 | 1.20 | (0.85) | 5.44 | |
| BMEZ | BlackRock Health Sciences | 0.08 | 6 per month | 0.69 | (0) | 2.10 | (1.27) | 4.64 | |
| NML | Neuberger Berman Mlp | 0.06 | 2 per month | 0.69 | 0.11 | 1.56 | (1.42) | 4.01 | |
| TGDVX | Tcw Relative Value | (0.12) | 1 per month | 0.66 | 0.02 | 1.32 | (1.26) | 3.30 | |
| NMIAX | Columbia Large Cap | (0.59) | 8 per month | 0.58 | 0.1 | 1.34 | (1.26) | 13.61 | |
| OMAH | VistaShares Target 15 | (0.01) | 2 per month | 0.00 | (0.16) | 0.66 | (1.02) | 2.47 | |
| BUI | BlackRock Utility Infrastructure | 0.21 | 3 per month | 0.74 | 0.04 | 1.87 | (1.20) | 5.64 | |
| PRCNX | T Rowe Price | (0.01) | 1 per month | 0.24 | 0.14 | 1.17 | (1.17) | 12.21 |
Other Forecasting Options for Duff
For every potential investor in Duff, whether a beginner or expert, Duff's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Duff Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Duff. Basic forecasting techniques help filter out the noise by identifying Duff's price trends.Duff Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Duff fund to make a market-neutral strategy. Peer analysis of Duff could also be used in its relative valuation, which is a method of valuing Duff by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Duff Market Strength Events
Market strength indicators help investors to evaluate how Duff fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Duff shares will generate the highest return on investment. By undertsting and applying Duff fund market strength indicators, traders can identify Duff And Phelps entry and exit signals to maximize returns.
Duff Risk Indicators
The analysis of Duff'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 Duff's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting duff fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.5827 | |||
| Semi Deviation | 0.753 | |||
| Standard Deviation | 0.7473 | |||
| Variance | 0.5585 | |||
| Downside Variance | 0.7623 | |||
| Semi Variance | 0.567 | |||
| Expected Short fall | (0.61) |
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 Duff
The number of cover stories for Duff depends on current market conditions and Duff's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Duff is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Duff's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Other Information on Investing in Duff Fund
Duff financial ratios help investors to determine whether Duff Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Duff with respect to the benefits of owning Duff security.
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