John Hancock Hedged Etf Price Prediction
| HEQ Etf | USD 10.56 0.16 1.49% |
Oversold Vs Overbought
38
Oversold | Overbought |
Using John Hancock hype-based prediction, you can estimate the value of John Hancock Hedged from the perspective of John Hancock 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 John Hancock to buy its etf at a price that has no basis in reality. In that case, they are not buying John 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 etfs at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
John Hancock after-hype prediction price | USD 10.56 |
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
John |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of John Hancock's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
John Hancock After-Hype Price Prediction Density Analysis
As far as predicting the price of John Hancock 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 John Hancock 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 Etf prices, such as prices of John Hancock, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
John Hancock Estimiated After-Hype Price Volatility
In the context of predicting John Hancock's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on John Hancock's historical news coverage. John Hancock's after-hype downside and upside margins for the prediction period are 10.02 and 11.10, respectively. We have considered John Hancock'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
John Hancock is very steady at this time. Analysis and calculation of next after-hype price of John Hancock Hedged is based on 3 months time horizon.
John Hancock Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as John Hancock is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading John Hancock 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 Etf 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 John Hancock, 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 |
0.03 | 0.55 | 0.00 | 0.00 | 3 Events / Month | 4 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
10.56 | 10.56 | 0.00 |
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John Hancock Hype Timeline
On the 15th of November 2024 John Hancock Hedged is traded for 10.56. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. John 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 0.03%. %. The volatility of related hype on John Hancock is about 2750.0%, with the expected price after the next announcement by competition of 10.56. About 33.0% of the company shares are owned by institutional investors. The company last dividend was issued on the 9th of September 2022. Considering the 90-day investment horizon the next forecasted press release will be in about 3 days. Check out John Hancock Basic Forecasting Models to cross-verify your projections.John Hancock Related Hype Analysis
Having access to credible news sources related to John Hancock's direct competition is more important than ever and may enhance your ability to predict John Hancock's future price movements. Getting to know how John Hancock'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 John Hancock may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ECF | Ellsworth Convertible Growth | 0.13 | 4 per month | 0.44 | 0.09 | 1.57 | (1.24) | 3.33 | |
| VFL | Delaware Investments Florida | (0.03) | 3 per month | 0.00 | (0.25) | 1.05 | (1.12) | 2.86 | |
| RCG | RENN Fund | 0.03 | 13 per month | 1.39 | 0.18 | 3.23 | (1.87) | 10.22 | |
| NXJ | Nuveen New Jersey | (0.01) | 1 per month | 0.56 | (0.28) | 0.65 | (0.87) | 2.30 | |
| HIE | Millerhoward High Income | 0.09 | 1 per month | 0.36 | (0.01) | 1.07 | (0.73) | 3.07 | |
| SCD | Lmp Capital And | 0.33 | 2 per month | 0.78 | 0.03 | 2.02 | (1.37) | 4.19 | |
| HYI | Western Asset High | (0.08) | 4 per month | 0.50 | (0.20) | 0.84 | (0.92) | 2.53 | |
| BWG | Brandywineglobal Globalome Opportunities | (0.1) | 2 per month | 0.00 | (0.24) | 0.92 | (1.06) | 3.55 | |
| NHS | Neuberger Berman High | (0.03) | 4 per month | 0.95 | (0.12) | 1.75 | (1.32) | 6.85 | |
| IGR | Cbre Clarion Global | (0.13) | 1 per month | 0.00 | (0.11) | 2.28 | (2.00) | 8.04 |
John Hancock Additional Predictive Modules
Most predictive techniques to examine John price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for John using various technical indicators. When you analyze John 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 John Hancock Predictive Indicators
The successful prediction of John Hancock 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 John Hancock Hedged, 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 John Hancock based on analysis of John Hancock hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to John Hancock's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to John Hancock's related companies.
Story Coverage note for John Hancock
The number of cover stories for John Hancock depends on current market conditions and John Hancock's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that John Hancock 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 John Hancock'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 John Etf
John Hancock financial ratios help investors to determine whether John Etf 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 John with respect to the benefits of owning John Hancock security.