Duff And Phelps Fund Price Prediction
| DPG Fund | USD 12.22 0.06 0.49% |
Oversold Vs Overbought
64
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 fear of missing out, i.e., FOMO, can cause potential investors in Duff to buy its fund at a price that has no basis in reality. In that case, they are not buying Duff because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell funds at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Duff after-hype prediction price | USD 12.2 |
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 After-Hype Price Prediction 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 11.32 and 13.08, 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 Prediction 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 |
0.19 | 0.88 | 0.02 | 0.01 | 2 Events / Month | 3 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
12.22 | 12.20 | 0.16 |
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Duff Hype Timeline
On the 23rd of November Duff And Phelps is traded for 12.22. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 0.01. Duff is projected to decline in value after the next headline, with the price expected to drop to 12.2. The average volatility of media hype impact on the company price is over 100%. The price depreciation on the next news is expected to be -0.16%, whereas the daily expected return is currently at 0.19%. The volatility of related hype on Duff is about 2588.24%, with the expected price after the next announcement by competition of 12.23. 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 Duff Basic Forecasting Models 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 | |||
| RNP | Cohen Steers Reit | 0.08 | 2 per month | 1.00 | (0.06) | 1.87 | (1.78) | 4.83 | |
| RQI | Cohen Steers Qualityome | 0.00 | 0 per month | 1.08 | (0.02) | 1.84 | (1.94) | 5.66 | |
| PTY | Pimco Corporate Income | 0.02 | 26 per month | 0.00 | (0.20) | 0.50 | (0.21) | 1.26 | |
| HQH | Tekla Healthcare Investors | 0.05 | 2 per month | 0.00 | (0.25) | 1.27 | (1.56) | 6.45 | |
| UTF | Cohen And Steers | 0.05 | 2 per month | 0.67 | (0.01) | 1.31 | (1.44) | 3.41 | |
| RFI | Cohen Steers Total | (0.12) | 3 per month | 1.02 | (0.05) | 1.54 | (1.67) | 5.38 | |
| PDO | Pimco Dynamic Income | 0.1 | 3 per month | 0.69 | (0.11) | 0.92 | (1.01) | 2.88 | |
| CSQ | Calamos Strategic Total | 0.09 | 3 per month | 0.66 | 0.01 | 1.33 | (1.29) | 3.77 | |
| GOF | Guggenheim Strategic Opportunities | 0.05 | 3 per month | 0.40 | (0.06) | 0.98 | (0.88) | 1.94 | |
| PCN | Pimco Corporate Income | 0.02 | 1 per month | 0.37 | (0.04) | 0.95 | (0.43) | 3.26 |
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 |
About Duff Predictive Indicators
The successful prediction of Duff stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Duff And Phelps, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Duff based on analysis of Duff hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Duff's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Duff's related companies.
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.
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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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