Vienna Insurance Stock Forward View - Simple Regression
| WSV2 Stock | EUR 67.40 0.20 0.30% |
Vienna Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Vienna Insurance's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 7th of February 2026 the relative strength indicator of Vienna Insurance's share price is below 20 . This entails that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.102 | Wall Street Target Price 17.5 | Quarterly Revenue Growth 0.089 |
Using Vienna Insurance hype-based prediction, you can estimate the value of Vienna Insurance Group from the perspective of Vienna Insurance response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Vienna Insurance Group on the next trading day is expected to be 72.89 with a mean absolute deviation of 3.33 and the sum of the absolute errors of 203.10. Vienna Insurance after-hype prediction price | EUR 67.55 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Vienna |
Vienna Insurance Additional Predictive Modules
Most predictive techniques to examine Vienna price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Vienna using various technical indicators. When you analyze Vienna 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Vienna Insurance Simple Regression Price Forecast For the 8th of February
Given 90 days horizon, the Simple Regression forecasted value of Vienna Insurance Group on the next trading day is expected to be 72.89 with a mean absolute deviation of 3.33, mean absolute percentage error of 15.18, and the sum of the absolute errors of 203.10.Please note that although there have been many attempts to predict Vienna Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Vienna Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Vienna Insurance Stock Forecast Pattern
| Backtest Vienna Insurance | Vienna Insurance Price Prediction | Research Analysis |
Vienna Insurance Forecasted Value
In the context of forecasting Vienna Insurance's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Vienna Insurance's downside and upside margins for the forecasting period are 70.73 and 75.06, respectively. We have considered Vienna Insurance's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Vienna Insurance stock data series using in forecasting. Note that when a statistical model is used to represent Vienna Insurance stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 120.8308 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.3296 |
| MAPE | Mean absolute percentage error | 0.0556 |
| SAE | Sum of the absolute errors | 203.1045 |
Predictive Modules for Vienna Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vienna Insurance. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Vienna Insurance After-Hype Price Density Analysis
As far as predicting the price of Vienna Insurance at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Vienna Insurance or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Vienna Insurance, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Vienna Insurance Estimiated After-Hype Price Volatility
In the context of predicting Vienna Insurance's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Vienna Insurance's historical news coverage. Vienna Insurance's after-hype downside and upside margins for the prediction period are 65.37 and 69.73, respectively. We have considered Vienna Insurance's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Vienna Insurance is very steady at this time. Analysis and calculation of next after-hype price of Vienna Insurance is based on 3 months time horizon.
Vienna Insurance Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Vienna Insurance is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Vienna Insurance backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Vienna Insurance, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.72 | 2.17 | 0.14 | 0.20 | 3 Events / Month | 2 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
67.40 | 67.55 | 0.22 |
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Vienna Insurance Hype Timeline
Vienna Insurance is at this time traded for 67.40on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.14, and average elasticity to hype of competition of 0.2. Vienna is anticipated to increase in value after the next headline, with the price projected to jump to 67.55 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 0.22%, whereas the daily expected return is at this time at 0.72%. The volatility of related hype on Vienna Insurance is about 791.97%, with the expected price after the next announcement by competition of 67.60. The company reported the revenue of 12.93 B. Net Income was 645.26 M with profit before overhead, payroll, taxes, and interest of 1.81 B. Assuming the 90 days trading horizon the next anticipated press release will be in about 3 days. Check out Historical Fundamental Analysis of Vienna Insurance to cross-verify your projections.Vienna Insurance Related Hype Analysis
Having access to credible news sources related to Vienna Insurance's direct competition is more important than ever and may enhance your ability to predict Vienna Insurance's future price movements. Getting to know how Vienna Insurance's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Vienna Insurance may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TLIK | TELES Informationstechnologien AG | 0.00 | 2 per month | 13.98 | 0.12 | 28.57 | (35.90) | 202.56 | |
| 0BD | Zovio Inc | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| 94P | AUREA SA INH | 0.00 | 0 per month | 2.39 | (0.03) | 3.44 | (3.93) | 11.80 | |
| 8SP | Superior Plus Corp | 0.00 | 7 per month | 0.00 | (0.07) | 2.29 | (2.27) | 21.96 | |
| DVDG | Franklin Global Quality | 0.05 | 4 per month | 0.41 | 0.04 | 1.00 | (0.65) | 3.06 | |
| INL | Intel | (0.18) | 8 per month | 4.20 | 0.07 | 8.76 | (5.60) | 24.14 | |
| BTC1 | Bitwise Core Bitcoin | (0.22) | 8 per month | 0.00 | (0.27) | 3.90 | (5.63) | 14.40 | |
| RS6 | Reliance Steel Aluminum | 2.90 | 6 per month | 0.80 | 0.15 | 3.18 | (1.57) | 5.54 | |
| RRU | Rolls Royce Holdings plc | 0.20 | 6 per month | 2.29 | 0.01 | 3.53 | (3.36) | 9.23 | |
| 9K1 | NORDIC HALIBUT AS | (0.01) | 4 per month | 1.61 | 0.01 | 3.05 | (2.79) | 12.62 |
Other Forecasting Options for Vienna Insurance
For every potential investor in Vienna, whether a beginner or expert, Vienna Insurance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Vienna Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Vienna. Basic forecasting techniques help filter out the noise by identifying Vienna Insurance's price trends.Vienna Insurance Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Vienna Insurance stock to make a market-neutral strategy. Peer analysis of Vienna Insurance could also be used in its relative valuation, which is a method of valuing Vienna Insurance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Vienna Insurance Market Strength Events
Market strength indicators help investors to evaluate how Vienna Insurance stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vienna Insurance shares will generate the highest return on investment. By undertsting and applying Vienna Insurance stock market strength indicators, traders can identify Vienna Insurance Group entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 67.4 | |||
| Day Typical Price | 67.4 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.20) |
Vienna Insurance Risk Indicators
The analysis of Vienna Insurance's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Vienna Insurance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vienna stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.58 | |||
| Semi Deviation | 0.8805 | |||
| Standard Deviation | 2.1 | |||
| Variance | 4.41 | |||
| Downside Variance | 2.64 | |||
| Semi Variance | 0.7752 | |||
| Expected Short fall | (1.92) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Vienna Insurance
The number of cover stories for Vienna Insurance depends on current market conditions and Vienna Insurance's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Vienna Insurance is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Vienna Insurance's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Vienna Insurance Short Properties
Vienna Insurance's future price predictability will typically decrease when Vienna Insurance's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Vienna Insurance Group often depends not only on the future outlook of the potential Vienna Insurance's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Vienna Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 128 M | |
| Dividends Paid | 199.8 M | |
| Forward Annual Dividend Rate | 1.55 | |
| Shares Float | 35.2 M |
Other Information on Investing in Vienna Stock
Vienna Insurance financial ratios help investors to determine whether Vienna Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Vienna with respect to the benefits of owning Vienna Insurance security.