UNIQA Insurance (Czech Republic) Price Patterns
| UQA Stock | CZK 374.00 4.50 1.19% |
Momentum 65
Buy Extended
Oversold | Overbought |
Using UNIQA Insurance hype-based prediction, you can estimate the value of UNIQA Insurance Group from the perspective of UNIQA Insurance 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 UNIQA Insurance to buy its stock at a price that has no basis in reality. In that case, they are not buying UNIQA 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.
UNIQA Insurance after-hype prediction price | CZK 374.0 |
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.
UNIQA |
UNIQA Insurance After-Hype Price Density Analysis
As far as predicting the price of UNIQA Insurance 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 UNIQA Insurance 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 UNIQA Insurance, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
UNIQA Insurance Estimiated After-Hype Price Volatility
In the context of predicting UNIQA Insurance's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on UNIQA Insurance's historical news coverage. UNIQA Insurance's after-hype downside and upside margins for the prediction period are 372.27 and 375.73, respectively. We have considered UNIQA Insurance'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
UNIQA Insurance is very steady at this time. Analysis and calculation of next after-hype price of UNIQA Insurance Group is based on 3 months time horizon.
UNIQA Insurance Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as UNIQA Insurance is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading UNIQA Insurance 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 UNIQA Insurance, 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 |
0.29 | 1.73 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Any time |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
374.00 | 374.00 | 0.00 |
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UNIQA Insurance Hype Timeline
UNIQA Insurance Group is at this time traded for 374.00on Prague Stock Exchange of Czech Republic. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. UNIQA 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 at this time at 0.29%. %. The volatility of related hype on UNIQA Insurance is about 0.0%, with the expected price after the next announcement by competition of 374.00. About 63.0% of the company outstanding shares are owned by insiders. The company has Price/Earnings (P/E) ratio of 472.07. UNIQA Insurance Group last dividend was issued on the 10th of June 2021. Assuming the 90 days trading horizon the next forecasted press release will be any time. Check out UNIQA Insurance Basic Forecasting Models to cross-verify your projections.UNIQA Insurance Related Hype Analysis
Having access to credible news sources related to UNIQA Insurance's direct competition is more important than ever and may enhance your ability to predict UNIQA Insurance's future price movements. Getting to know how UNIQA Insurance'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 UNIQA Insurance may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RBI | Raiffeisen Bank International | 0.00 | 0 per month | 1.66 | 0.15 | 4.89 | (2.76) | 12.52 | |
| VIG | Vienna Insurance Group | 0.00 | 0 per month | 1.05 | 0.21 | 5.02 | (2.08) | 12.17 | |
| MONET | Moneta Money Bank | 0.00 | 0 per month | 1.29 | 0.10 | 1.89 | (1.69) | 9.99 | |
| UQA | UNIQA Insurance Group | 0.00 | 0 per month | 0.72 | 0.14 | 2.03 | (1.33) | 13.08 | |
| JTINA | JT ARCH INVESTMENTS | 0.00 | 0 per month | 0.40 | 0.15 | 1.80 | (0.88) | 6.27 | |
| KOMB | Komercni Banka AS | 0.00 | 0 per month | 0.95 | 0.02 | 1.62 | (1.50) | 5.24 |
UNIQA Insurance Additional Predictive Modules
Most predictive techniques to examine UNIQA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for UNIQA using various technical indicators. When you analyze UNIQA 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Statistic Functions | ||
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| Volume Indicators |
About UNIQA Insurance Predictive Indicators
The successful prediction of UNIQA Insurance 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 UNIQA Insurance Group, 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 UNIQA Insurance based on analysis of UNIQA Insurance hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to UNIQA Insurance's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to UNIQA Insurance's related companies.
Pair Trading with UNIQA Insurance
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if UNIQA Insurance position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in UNIQA Insurance will appreciate offsetting losses from the drop in the long position's value.Moving together with UNIQA Stock
Moving against UNIQA Stock
| 0.79 | BEZVA | Bezvavlasy as | PairCorr |
| 0.77 | FIXED | FIXEDzone as | PairCorr |
| 0.74 | KLIKY | MT 1997 AS | PairCorr |
| 0.65 | KOFOL | Kofola CeskoSlovensko | PairCorr |
The ability to find closely correlated positions to UNIQA Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UNIQA Insurance when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back UNIQA Insurance - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling UNIQA Insurance Group to buy it.
The correlation of UNIQA Insurance is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as UNIQA Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UNIQA Insurance Group moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for UNIQA Insurance can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for UNIQA Stock Analysis
When running UNIQA Insurance's price analysis, check to measure UNIQA Insurance's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy UNIQA Insurance is operating at the current time. Most of UNIQA Insurance's value examination focuses on studying past and present price action to predict the probability of UNIQA Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UNIQA Insurance's price. Additionally, you may evaluate how the addition of UNIQA Insurance to your portfolios can decrease your overall portfolio volatility.