Uniqa Insurance Group Stock Five Year Return

UQA Stock  CZK 183.70  0.80  0.44%   
UNIQA Insurance Group fundamentals help investors to digest information that contributes to UNIQA Insurance's financial success or failures. It also enables traders to predict the movement of UNIQA Stock. The fundamental analysis module provides a way to measure UNIQA Insurance's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to UNIQA Insurance stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

UNIQA Insurance Group Company Five Year Return Analysis

UNIQA Insurance's Five Year Return is considered one of the best measures to evaluate fund performance, especially from the mid and long term perspective. It shows the total annualized return generated from holding equity for the last five years and represents capital appreciation of the investment, including all dividends, losses, and capital gains distributions.

Five Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About Five Year Return | All Equity Analysis
Although Five Year Returns can give a sense of overall investment potential, it is recommended to compare equity performance with similar assets for the same five year time interval. Similarly, comparing overall investment performance over the last five years with the appropriate market index is a great way to determine how this equity instrument will perform during unforeseen market fluctuations.
Competition

According to the company disclosure, UNIQA Insurance Group has a Five Year Return of 0.0%. This indicator is about the same for the Financial Services average (which is currently at 0.0) sector and about the same as Insurance—Diversified (which currently averages 0.0) industry. This indicator is about the same for all Czech Republic stocks average (which is currently at 0.0).

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UNIQA Fundamentals

About UNIQA Insurance Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze UNIQA Insurance Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of UNIQA Insurance using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of UNIQA Insurance Group based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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 against UNIQA Stock

  0.72KOFOL Kofola CeskoSlovenskoPairCorr
  0.66FILL Fillamentum asPairCorr
  0.52CEZ Cez ASPairCorr
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.
Pair CorrelationCorrelation Matching

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.