Brand 24 (Poland) Odds of Future Stock Price Finishing Over 46.92
| B24 Stock | 47.70 0.10 0.21% |
Brand |
Brand 24 Target Price Odds to finish over 46.92
The tendency of Brand 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 above 46.92 in 90 days |
| 47.70 | 90 days | 46.92 | about 54.05 |
Based on a normal probability distribution, the odds of Brand 24 to stay above 46.92 in 90 days from now is about 54.05 (This Brand 24 SA probability density function shows the probability of Brand Stock to fall within a particular range of prices over 90 days) . Probability of Brand 24 SA price to stay between 46.92 and its current price of 47.7 at the end of the 90-day period is about 42.93 .
Assuming the 90 days trading horizon Brand 24 has a beta of 0.0396 suggesting as returns on the market go up, Brand 24 average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Brand 24 SA will be expected to be much smaller as well. Additionally Brand 24 SA has an alpha of 0.0096, implying that it can generate a 0.009567 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Brand 24 Price Density |
| Price |
Predictive Modules for Brand 24
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Brand 24 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 Brand 24'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.
Brand 24 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Brand 24 is not an exception. The market had few large corrections towards the Brand 24'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 Brand 24 SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Brand 24 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.04 | |
σ | Overall volatility | 0.59 | |
Ir | Information ratio | -0.17 |
Brand 24 Technical Analysis
Brand 24's future price can be derived by breaking down and analyzing its technical indicators over time. Brand Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Brand 24 SA. In general, you should focus on analyzing Brand Stock price patterns and their correlations with different microeconomic environments and drivers.
Brand 24 Predictive Forecast Models
Brand 24's time-series forecasting models is one of many Brand 24'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 Brand 24'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 Brand 24 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, Brand 24's short interest history, or implied volatility extrapolated from Brand 24 options trading.
Additional Tools for Brand Stock Analysis
When running Brand 24's price analysis, check to measure Brand 24'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 Brand 24 is operating at the current time. Most of Brand 24's value examination focuses on studying past and present price action to predict the probability of Brand 24's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Brand 24's price. Additionally, you may evaluate how the addition of Brand 24 to your portfolios can decrease your overall portfolio volatility.