Vienna Insurance Stock Forecast - Simple Regression
| WSV2 Stock | EUR 30.00 0.30 0.99% |
The Simple Regression forecasted value of Vienna Insurance Group on the next trading day is expected to be 29.45 with a mean absolute deviation of 0.52 and the sum of the absolute errors of 32.14. Vienna Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Vienna Insurance's historical fundamentals, such as revenue growth or operating cash flow patterns.
Vienna |
Vienna Insurance Simple Regression Price Forecast For the 29th of December
Given 90 days horizon, the Simple Regression forecasted value of Vienna Insurance Group on the next trading day is expected to be 29.45 with a mean absolute deviation of 0.52, mean absolute percentage error of 0.38, and the sum of the absolute errors of 32.14.Please note that although there have been many attempts to predict Vienna Stock prices using its time series forecasting, we generally do not recommend 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
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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 28.37 and 30.53, 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 | 118.9899 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.5183 |
| MAPE | Mean absolute percentage error | 0.0175 |
| SAE | Sum of the absolute errors | 32.1374 |
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.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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Vienna Insurance's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Vienna Insurance's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
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 | 0.8765 | |||
| Semi Deviation | 1.12 | |||
| Standard Deviation | 1.07 | |||
| Variance | 1.14 | |||
| Downside Variance | 1.41 | |||
| Semi Variance | 1.26 | |||
| Expected Short fall | (0.87) |
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.
Currently Active Assets on Macroaxis
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.