M2M GROUP (Morocco) Probability of Future Stock Price Finishing Over 580.00
| M2M-GROUP | 580.00 2.00 0.34% |
M2M |
M2M GROUP Target Price Odds to finish over 580.00
The tendency of M2M 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 |
| 580.00 | 90 days | 580.00 | about 6.8 |
Based on a normal probability distribution, the odds of M2M GROUP to move above the current price in 90 days from now is about 6.8 (This M2M GROUP probability density function shows the probability of M2M Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon M2M GROUP has a beta of -0.0197. This indicates as returns on the benchmark increase, returns on holding M2M GROUP are expected to decrease at a much lower rate. During a bear market, however, M2M GROUP is likely to outperform the market. Additionally M2M GROUP has an alpha of 0.3168, implying that it can generate a 0.32 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). M2M GROUP Price Density |
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Predictive Modules for M2M 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 M2M GROUP. 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 M2M GROUP. Your research has to be compared to or analyzed against M2M GROUP's peers to derive any actionable benefits. When done correctly, M2M GROUP'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 M2M GROUP.M2M GROUP Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. M2M GROUP is not an exception. The market had few large corrections towards the M2M 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 M2M GROUP, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of M2M GROUP within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.32 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 23.03 | |
Ir | Information ratio | 0.07 |
M2M GROUP Technical Analysis
M2M GROUP's future price can be derived by breaking down and analyzing its technical indicators over time. M2M Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of M2M GROUP. In general, you should focus on analyzing M2M Stock price patterns and their correlations with different microeconomic environments and drivers.
M2M GROUP Predictive Forecast Models
M2M GROUP's time-series forecasting models is one of many M2M 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 M2M 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.
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 M2M GROUP 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, M2M GROUP's short interest history, or implied volatility extrapolated from M2M GROUP options trading.