WAWEL SA (Poland) Odds of Future Stock Price Finishing Under 608.31
| WWL Stock | 606.00 2.00 0.33% |
WAWEL |
WAWEL SA Target Price Odds to finish below 608.31
The tendency of WAWEL Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay under 608.31 after 90 days |
| 606.00 | 90 days | 608.31 | about 31.89 |
Based on a normal probability distribution, the odds of WAWEL SA to stay under 608.31 after 90 days from now is about 31.89 (This WAWEL SA probability density function shows the probability of WAWEL Stock to fall within a particular range of prices over 90 days) . Probability of WAWEL SA price to stay between its current price of 606.00 and 608.31 at the end of the 90-day period is under 4.
Assuming the 90 days trading horizon WAWEL SA has a beta of -0.17. This entails as returns on the benchmark increase, returns on holding WAWEL SA are expected to decrease at a much lower rate. During a bear market, however, WAWEL SA is likely to outperform the market. Additionally WAWEL SA has an alpha of 0.1044, implying that it can generate a 0.1 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). WAWEL SA Price Density |
| Price |
Predictive Modules for WAWEL SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as WAWEL SA. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WAWEL SA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
WAWEL SA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. WAWEL SA is not an exception. The market had few large corrections towards the WAWEL SA's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold WAWEL SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of WAWEL SA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.10 | |
β | Beta against Dow Jones | -0.17 | |
σ | Overall volatility | 20.63 | |
Ir | Information ratio | -0.03 |
WAWEL SA Technical Analysis
WAWEL SA's future price can be derived by breaking down and analyzing its technical indicators over time. WAWEL Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of WAWEL SA. In general, you should focus on analyzing WAWEL Stock price patterns and their correlations with different microeconomic environments and drivers.
WAWEL SA Predictive Forecast Models
WAWEL SA's time-series forecasting models is one of many WAWEL SA's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary WAWEL SA's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards WAWEL SA in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, WAWEL SA's short interest history, or implied volatility extrapolated from WAWEL SA options trading.
Additional Tools for WAWEL Stock Analysis
When running WAWEL SA's price analysis, check to measure WAWEL SA'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 WAWEL SA is operating at the current time. Most of WAWEL SA's value examination focuses on studying past and present price action to predict the probability of WAWEL SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WAWEL SA's price. Additionally, you may evaluate how the addition of WAWEL SA to your portfolios can decrease your overall portfolio volatility.