UNIQA Insurance (Czech Republic) Statistic Functions Beta
| UQA Stock | CZK 185.00 1.30 0.71% |
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The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on UNIQA Insurance Group correlated with the market. If Beta is less than 0 UNIQA Insurance generally moves in the opposite direction as compared to the market. If UNIQA Insurance Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one UNIQA Insurance Group is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of UNIQA Insurance is generally in the same direction as the market. If Beta > 1 UNIQA Insurance moves generally in the same direction as, but more than the movement of the benchmark.
UNIQA Insurance Technical Analysis Modules
Most technical analysis of UNIQA Insurance help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for UNIQA from various momentum indicators to cycle 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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About UNIQA Insurance Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of UNIQA Insurance Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of UNIQA Insurance Group based on widely used predictive technical indicators. In general, we focus on analyzing UNIQA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UNIQA Insurance's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of UNIQA Insurance's intrinsic value. In addition to deriving basic predictive indicators for UNIQA Insurance, we also check how macroeconomic factors affect UNIQA Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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UNIQA Insurance Group pair trading
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.UNIQA Insurance Pair Trading
UNIQA Insurance Group Pair Trading Analysis
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.