CIG Pannonia (Hungary) Price Prediction
CIG Stock | 370.00 3.00 0.82% |
Oversold Vs Overbought
58
Oversold | Overbought |
Using CIG Pannonia hype-based prediction, you can estimate the value of CIG Pannonia Life from the perspective of CIG Pannonia 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 CIG Pannonia to buy its stock at a price that has no basis in reality. In that case, they are not buying CIG 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
CIG Pannonia after-hype prediction price | HUF 370.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
CIG |
CIG Pannonia After-Hype Price Prediction Density Analysis
As far as predicting the price of CIG Pannonia 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 CIG Pannonia 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 Stock prices, such as prices of CIG Pannonia, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
CIG Pannonia Estimiated After-Hype Price Volatility
In the context of predicting CIG Pannonia's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on CIG Pannonia's historical news coverage. CIG Pannonia's after-hype downside and upside margins for the prediction period are 368.65 and 371.35, respectively. We have considered CIG Pannonia'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
CIG Pannonia is very steady at this time. Analysis and calculation of next after-hype price of CIG Pannonia Life is based on 3 months time horizon.
CIG Pannonia Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as CIG Pannonia is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading CIG Pannonia 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 Stock 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 CIG Pannonia, 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 |
0.26 | 1.35 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
370.00 | 370.00 | 0.00 |
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CIG Pannonia Hype Timeline
CIG Pannonia Life is currently traded for 370.00on Budapest Stock Exchange of Hungary. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. CIG 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.26%. %. The volatility of related hype on CIG Pannonia is about 0.0%, with the expected price after the next announcement by competition of 370.00. The company last dividend was issued on the 22nd of August 1970. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out CIG Pannonia Basic Forecasting Models to cross-verify your projections.CIG Pannonia Related Hype Analysis
Having access to credible news sources related to CIG Pannonia's direct competition is more important than ever and may enhance your ability to predict CIG Pannonia's future price movements. Getting to know how CIG Pannonia'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 CIG Pannonia may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
APPEN | Appeninn Nyrt | 0.00 | 0 per month | 0.67 | 0.02 | 1.77 | (1.25) | 10.20 | |
RABA | Raba Jarmuipari Holding | 0.00 | 0 per month | 0.00 | (0.06) | 3.89 | (3.19) | 10.76 | |
CIG | CIG Pannonia Life | 0.00 | 0 per month | 0.65 | 0.11 | 3.53 | (1.62) | 6.88 | |
NORD | NordTelekom Telecommunications Service | 0.00 | 0 per month | 0.00 | (0.04) | 7.14 | (6.30) | 20.67 | |
OPUS | OPUS GLOBAL Nyrt | 0.00 | 0 per month | 0.74 | 0.06 | 2.19 | (1.54) | 6.72 | |
NUTEX | Nutex Investments PLC | 0.00 | 0 per month | 1.98 | 0.08 | 4.00 | (3.11) | 44.69 | |
AKKO | AKKO Invest Nyrt | 0.00 | 0 per month | 1.37 | 0.09 | 3.36 | (2.91) | 14.11 | |
OTP | OTP Bank Nyrt | 0.00 | 0 per month | 0.78 | 0.15 | 1.99 | (1.73) | 7.07 | |
BIF | Budapesti Ingatlan Hasznositasi | 0.00 | 0 per month | 0.00 | (0.06) | 3.57 | (3.19) | 8.30 |
CIG Pannonia Additional Predictive Modules
Most predictive techniques to examine CIG price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CIG using various technical indicators. When you analyze CIG 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 CIG Pannonia Predictive Indicators
The successful prediction of CIG Pannonia 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 CIG Pannonia Life, 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 CIG Pannonia based on analysis of CIG Pannonia hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to CIG Pannonia's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to CIG Pannonia's related companies.
Story Coverage note for CIG Pannonia
The number of cover stories for CIG Pannonia depends on current market conditions and CIG Pannonia's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that CIG Pannonia 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 CIG Pannonia'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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