Vienna Insurance (Czech Republic) Market Value
| VIG Stock | CZK 1,218 14.00 1.16% |
| Symbol | Vienna |
Vienna 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 Vienna 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 Vienna Insurance.
| 05/20/2025 |
| 08/18/2025 |
If you would invest 0.00 in Vienna Insurance on May 20, 2025 and sell it all today you would earn a total of 0.00 from holding Vienna Insurance Group or generate 0.0% return on investment in Vienna Insurance over 90 days. Vienna Insurance is related to or competes with Erste Group, and Moneta Money. Vienna Insurance Group AG, together with its subsidiaries, provides various insurance products and services in life, hea... More
Vienna 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 Vienna 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 Vienna Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.0698 | |||
| Maximum Drawdown | 4.46 | |||
| Value At Risk | (1.66) | |||
| Potential Upside | 2.04 |
Vienna Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vienna Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vienna Insurance's standard deviation. In reality, there are many statistical measures that can use Vienna Insurance historical prices to predict the future Vienna Insurance's volatility.| Risk Adjusted Performance | 0.1183 | |||
| Jensen Alpha | 0.1551 | |||
| Total Risk Alpha | 0.0278 | |||
| Sortino Ratio | 0.0741 | |||
| Treynor Ratio | 1.26 |
Vienna Insurance Backtested Returns
Vienna Insurance appears to be very steady, given 3 months investment horizon. Vienna Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Vienna Insurance Group, which you can use to evaluate the volatility of the company. Please review Vienna Insurance's Coefficient Of Variation of 621.2, semi deviation of 0.8149, and Risk Adjusted Performance of 0.1183 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Vienna Insurance holds a performance score of 14. The entity has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Vienna Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vienna Insurance is expected to be smaller as well. Please check Vienna Insurance's jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to make a quick decision on whether Vienna Insurance's existing price patterns will revert.
Auto-correlation | -0.63 |
Very good reverse predictability
Vienna Insurance Group has very good reverse predictability. Overlapping area represents the amount of predictability between Vienna Insurance time series from 20th of May 2025 to 4th of July 2025 and 4th of July 2025 to 18th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Vienna Insurance price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Vienna Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 1909.96 |
Vienna Insurance lagged returns against current returns
Autocorrelation, which is Vienna 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 Vienna Insurance's stock expected returns. We can calculate the autocorrelation of Vienna Insurance returns to help us make a trade decision. For example, suppose you find that Vienna 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 |
Vienna 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 Vienna Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vienna Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vienna Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Vienna Insurance Lagged Returns
When evaluating Vienna Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vienna Insurance stock have on its future price. Vienna 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, Vienna Insurance autocorrelation shows the relationship between Vienna Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Vienna Insurance Group.
Regressed Prices |
| Timeline |
Pair Trading with Vienna 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 Vienna 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 Vienna Insurance will appreciate offsetting losses from the drop in the long position's value.Moving against Vienna Stock
| 0.67 | FIXED | FIXEDzone as | PairCorr |
| 0.51 | PRAB | Prabos Plus as | PairCorr |
| 0.41 | PRIUA | Primoco UAV SE | PairCorr |
| 0.41 | FILL | Fillamentum as | PairCorr |
| 0.31 | KLIKY | MT 1997 AS | PairCorr |
The ability to find closely correlated positions to Vienna 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 Vienna 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 Vienna 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 Vienna Insurance Group to buy it.
The correlation of Vienna 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 Vienna Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vienna Insurance 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 Vienna 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 Vienna Stock Analysis
When running Vienna Insurance's price analysis, check to measure Vienna 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 Vienna Insurance is operating at the current time. Most of Vienna Insurance's value examination focuses on studying past and present price action to predict the probability of Vienna 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 Vienna Insurance's price. Additionally, you may evaluate how the addition of Vienna Insurance to your portfolios can decrease your overall portfolio volatility.