Boa Concept (France) Probability of Future Stock Price Finishing Over 17.00
| ALBOA Stock | 17.00 0.10 0.58% |
Boa |
Boa Concept Target Price Odds to finish over 17.00
The tendency of Boa 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 above the current price in 90 days |
| 17.00 | 90 days | 17.00 | about 44.51 |
Based on a normal probability distribution, the odds of Boa Concept to move above the current price in 90 days from now is about 44.51 (This Boa Concept SA probability density function shows the probability of Boa Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Boa Concept SA has a beta of -0.043. This suggests as returns on the benchmark increase, returns on holding Boa Concept are expected to decrease at a much lower rate. During a bear market, however, Boa Concept SA is likely to outperform the market. Additionally Boa Concept SA has an alpha of 0.0098, implying that it can generate a 0.009808 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Boa Concept Price Density |
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Predictive Modules for Boa Concept
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Boa Concept 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as Boa Concept. Your research has to be compared to or analyzed against Boa Concept's peers to derive any actionable benefits. When done correctly, Boa Concept's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Boa Concept SA.Boa Concept Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Boa Concept is not an exception. The market had few large corrections towards the Boa Concept'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 Boa Concept SA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Boa Concept 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 | 0.58 | |
Ir | Information ratio | -0.06 |
Boa Concept Technical Analysis
Boa Concept's future price can be derived by breaking down and analyzing its technical indicators over time. Boa Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Boa Concept SA. In general, you should focus on analyzing Boa Stock price patterns and their correlations with different microeconomic environments and drivers.
Boa Concept Predictive Forecast Models
Boa Concept's time-series forecasting models is one of many Boa Concept'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 Boa Concept'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 Boa Concept 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, Boa Concept's short interest history, or implied volatility extrapolated from Boa Concept options trading.
Additional Tools for Boa Stock Analysis
When running Boa Concept's price analysis, check to measure Boa Concept'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 Boa Concept is operating at the current time. Most of Boa Concept's value examination focuses on studying past and present price action to predict the probability of Boa Concept's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Boa Concept's price. Additionally, you may evaluate how the addition of Boa Concept to your portfolios can decrease your overall portfolio volatility.