PCF Group (Poland) Probability of Future Stock Price Finishing Under 9.25
| PCF Stock | 9.25 0.23 2.43% |
PCF |
PCF Group Target Price Odds to finish below 9.25
The tendency of PCF 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 below current price in 90 days |
| 9.25 | 90 days | 9.25 | about 7.89 |
Based on a normal probability distribution, the odds of PCF Group to move below current price in 90 days from now is about 7.89 (This PCF Group SA probability density function shows the probability of PCF Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon PCF Group has a beta of 0.58 indicating as returns on the market go up, PCF Group average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding PCF Group SA will be expected to be much smaller as well. Additionally PCF Group SA has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. PCF Group Price Density |
| Price |
Predictive Modules for PCF Group
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PCF Group 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 PCF Group'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.
PCF Group Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. PCF Group is not an exception. The market had few large corrections towards the PCF Group'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 PCF Group SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of PCF Group within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.88 | |
β | Beta against Dow Jones | 0.58 | |
σ | Overall volatility | 2.73 | |
Ir | Information ratio | -0.35 |
PCF Group Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of PCF Group for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for PCF Group SA can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| PCF Group SA generated a negative expected return over the last 90 days |
PCF Group Technical Analysis
PCF Group's future price can be derived by breaking down and analyzing its technical indicators over time. PCF Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of PCF Group SA. In general, you should focus on analyzing PCF Stock price patterns and their correlations with different microeconomic environments and drivers.
PCF Group Predictive Forecast Models
PCF Group's time-series forecasting models is one of many PCF Group'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 PCF Group'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.
Things to note about PCF Group SA
Checking the ongoing alerts about PCF Group for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for PCF Group SA help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| PCF Group SA generated a negative expected return over the last 90 days |
Additional Tools for PCF Stock Analysis
When running PCF Group's price analysis, check to measure PCF Group'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 PCF Group is operating at the current time. Most of PCF Group's value examination focuses on studying past and present price action to predict the probability of PCF Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PCF Group's price. Additionally, you may evaluate how the addition of PCF Group to your portfolios can decrease your overall portfolio volatility.