Vienna Insurance (Austria) Technical Analysis
| VIG Stock | EUR 68.20 2.00 3.02% |
As of the 10th of February, Vienna Insurance has the Semi Deviation of 1.02, risk adjusted performance of 0.2415, and Coefficient Of Variation of 341.32. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vienna Insurance, as well as the relationship between them.
Vienna Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Vienna, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ViennaVienna |
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.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Vienna Insurance on November 12, 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 UNIQA Insurance, Oberbank, BAWAG Group, Addiko Bank, BKS Bank, Raiffeisen Bank, and Wiener Privatbank. 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 | 1.58 | |||
| Information Ratio | 0.2499 | |||
| Maximum Drawdown | 10.36 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 5.8 |
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 | 0.2415 | |||
| Jensen Alpha | 0.6502 | |||
| Total Risk Alpha | 0.4076 | |||
| Sortino Ratio | 0.362 | |||
| Treynor Ratio | 6.54 |
Vienna Insurance February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2415 | |||
| Market Risk Adjusted Performance | 6.55 | |||
| Mean Deviation | 1.69 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.58 | |||
| Coefficient Of Variation | 341.32 | |||
| Standard Deviation | 2.28 | |||
| Variance | 5.21 | |||
| Information Ratio | 0.2499 | |||
| Jensen Alpha | 0.6502 | |||
| Total Risk Alpha | 0.4076 | |||
| Sortino Ratio | 0.362 | |||
| Treynor Ratio | 6.54 | |||
| Maximum Drawdown | 10.36 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 5.8 | |||
| Downside Variance | 2.48 | |||
| Semi Variance | 1.05 | |||
| Expected Short fall | (2.13) | |||
| Skewness | 0.9328 | |||
| Kurtosis | 0.8824 |
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 0.31, which indicates the firm had a 0.31 % return per unit of risk over the last 3 months. By inspecting Vienna Insurance's technical indicators, you can evaluate if the expected return of 0.73% is justified by implied risk. Please review Vienna Insurance's Semi Deviation of 1.02, risk adjusted performance of 0.2415, and Coefficient Of Variation of 341.32 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 24. The entity has a beta of 0.1, 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 total risk alpha, expected short fall, price action indicator, as well as the relationship between the value at risk and daily balance of power , to make a quick decision on whether Vienna Insurance's existing price patterns will revert.
Auto-correlation | 0.16 |
Very weak predictability
Vienna Insurance Group has very weak predictability. Overlapping area represents the amount of predictability between Vienna Insurance time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. 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 0.16 indicates that over 16.0% of current Vienna Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 1.66 |
Vienna Insurance technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Vienna Insurance Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Vienna Insurance across different markets.
About Vienna Insurance Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Vienna Insurance Group on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Vienna Insurance Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Vienna Insurance price pattern first instead of the macroeconomic environment surrounding Vienna Insurance. By analyzing Vienna Insurance's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Vienna Insurance's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Vienna Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Vienna Insurance February 10, 2026 Technical Indicators
Most technical analysis of Vienna 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 Vienna from various momentum indicators to cycle indicators. When you analyze Vienna charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2415 | |||
| Market Risk Adjusted Performance | 6.55 | |||
| Mean Deviation | 1.69 | |||
| Semi Deviation | 1.02 | |||
| Downside Deviation | 1.58 | |||
| Coefficient Of Variation | 341.32 | |||
| Standard Deviation | 2.28 | |||
| Variance | 5.21 | |||
| Information Ratio | 0.2499 | |||
| Jensen Alpha | 0.6502 | |||
| Total Risk Alpha | 0.4076 | |||
| Sortino Ratio | 0.362 | |||
| Treynor Ratio | 6.54 | |||
| Maximum Drawdown | 10.36 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 5.8 | |||
| Downside Variance | 2.48 | |||
| Semi Variance | 1.05 | |||
| Expected Short fall | (2.13) | |||
| Skewness | 0.9328 | |||
| Kurtosis | 0.8824 |
Vienna Insurance February 10, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Vienna stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 1,865 | ||
| Daily Balance Of Power | 0.87 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 67.05 | ||
| Day Typical Price | 67.43 | ||
| Price Action Indicator | 2.15 |
Complementary 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.
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