Wikana SA (Poland) Probability of Future Stock Price Finishing Over 9.89
| WIK Stock | 7.15 0.15 2.14% |
Wikana |
Wikana SA Target Price Odds to finish over 9.89
The tendency of Wikana 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 move over 9.89 or more in 90 days |
| 7.15 | 90 days | 9.89 | near 1 |
Based on a normal probability distribution, the odds of Wikana SA to move over 9.89 or more in 90 days from now is near 1 (This Wikana SA probability density function shows the probability of Wikana Stock to fall within a particular range of prices over 90 days) . Probability of Wikana SA price to stay between its current price of 7.15 and 9.89 at the end of the 90-day period is about 76.59 .
Assuming the 90 days trading horizon Wikana SA has a beta of -0.0921. This entails as returns on the benchmark increase, returns on holding Wikana SA are expected to decrease at a much lower rate. During a bear market, however, Wikana SA is likely to outperform the market. Additionally Wikana SA has an alpha of 0.1452, implying that it can generate a 0.15 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Wikana SA Price Density |
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Predictive Modules for Wikana 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 Wikana 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 Wikana 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.
Wikana SA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Wikana SA is not an exception. The market had few large corrections towards the Wikana 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 Wikana SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Wikana SA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.15 | |
β | Beta against Dow Jones | -0.09 | |
σ | Overall volatility | 0.51 | |
Ir | Information ratio | 0.01 |
Wikana SA Technical Analysis
Wikana SA's future price can be derived by breaking down and analyzing its technical indicators over time. Wikana Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Wikana SA. In general, you should focus on analyzing Wikana Stock price patterns and their correlations with different microeconomic environments and drivers.
Wikana SA Predictive Forecast Models
Wikana SA's time-series forecasting models is one of many Wikana 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 Wikana 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 Wikana 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, Wikana SA's short interest history, or implied volatility extrapolated from Wikana SA options trading.
Additional Tools for Wikana Stock Analysis
When running Wikana SA's price analysis, check to measure Wikana 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 Wikana SA is operating at the current time. Most of Wikana SA's value examination focuses on studying past and present price action to predict the probability of Wikana 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 Wikana SA's price. Additionally, you may evaluate how the addition of Wikana SA to your portfolios can decrease your overall portfolio volatility.