UNIQA Insurance (Czech Republic) Market Value
| UQA Stock | CZK 183.70 0.80 0.44% |
| Symbol | UNIQA |
UNIQA Insurance 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to UNIQA Insurance's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of UNIQA Insurance.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in UNIQA Insurance on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding UNIQA Insurance Group or generate 0.0% return on investment in UNIQA Insurance over 30 days. UNIQA Insurance is related to or competes with Cez AS, MT 1997, Kofola CeskoSlovensko, HARDWARIO, Coloseum Holding, Primoco UAV, and Prabos Plus. UNIQA Insurance Group AG operates as an insurance company in Austria, Central and Eastern Europe, and internationally More
UNIQA Insurance Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure UNIQA Insurance's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess UNIQA Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.35) | |||
| Maximum Drawdown | 3.86 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 0.6674 |
UNIQA Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UNIQA Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UNIQA Insurance's standard deviation. In reality, there are many statistical measures that can use UNIQA Insurance historical prices to predict the future UNIQA Insurance's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (5.11) |
UNIQA Insurance Group Backtested Returns
UNIQA Insurance Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the firm had a -0.15% return per unit of volatility over the last 3 months. UNIQA Insurance Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UNIQA Insurance's risk adjusted performance of (0.11), and Variance of 0.4185 to confirm the risk estimate we provide. The entity has a beta of 0.0206, which indicates not very significant fluctuations relative to the market. As returns on the market increase, UNIQA Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding UNIQA Insurance is expected to be smaller as well. At this point, UNIQA Insurance Group has a negative expected return of -0.0983%. Please make sure to validate UNIQA Insurance's skewness, and the relationship between the treynor ratio and rate of daily change , to decide if UNIQA Insurance Group performance from the past will be repeated at future time.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
UNIQA Insurance Group has almost perfect reverse predictability. Overlapping area represents the amount of predictability between UNIQA Insurance time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of UNIQA Insurance Group price movement. The serial correlation of -0.77 indicates that around 77.0% of current UNIQA Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 1.02 |
UNIQA Insurance Group lagged returns against current returns
Autocorrelation, which is UNIQA Insurance stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting UNIQA Insurance's stock expected returns. We can calculate the autocorrelation of UNIQA Insurance returns to help us make a trade decision. For example, suppose you find that UNIQA Insurance has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
UNIQA Insurance regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If UNIQA Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UNIQA Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UNIQA Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
UNIQA Insurance Lagged Returns
When evaluating UNIQA Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UNIQA Insurance stock have on its future price. UNIQA Insurance autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, UNIQA Insurance autocorrelation shows the relationship between UNIQA Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in UNIQA Insurance Group.
Regressed Prices |
| Timeline |
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
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.