MAY BAKER (Nigeria) Probability of Future Stock Price Finishing Over 8.07
| MAYBAKER | 9.00 0.70 8.43% |
MAY |
MAY BAKER Target Price Odds to finish over 8.07
The tendency of MAY 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 8.07 in 90 days |
| 9.00 | 90 days | 8.07 | about 61.69 |
Based on a normal probability distribution, the odds of MAY BAKER to stay above 8.07 in 90 days from now is about 61.69 (This MAY BAKER NIGERIA probability density function shows the probability of MAY Stock to fall within a particular range of prices over 90 days) . Probability of MAY BAKER NIGERIA price to stay between 8.07 and its current price of 9.0 at the end of the 90-day period is about 44.82 .
Assuming the 90 days trading horizon MAY BAKER NIGERIA has a beta of -0.24. This indicates as returns on the benchmark increase, returns on holding MAY BAKER are expected to decrease at a much lower rate. During a bear market, however, MAY BAKER NIGERIA is likely to outperform the market. Additionally MAY BAKER NIGERIA has an alpha of 0.3351, implying that it can generate a 0.34 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). MAY BAKER Price Density |
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Predictive Modules for MAY BAKER
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MAY BAKER NIGERIA. 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 MAY BAKER. Your research has to be compared to or analyzed against MAY BAKER's peers to derive any actionable benefits. When done correctly, MAY BAKER'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 MAY BAKER NIGERIA.MAY BAKER Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. MAY BAKER is not an exception. The market had few large corrections towards the MAY BAKER'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 MAY BAKER NIGERIA, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of MAY BAKER within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.34 | |
β | Beta against Dow Jones | -0.24 | |
σ | Overall volatility | 0.74 | |
Ir | Information ratio | 0.12 |
MAY BAKER Technical Analysis
MAY BAKER's future price can be derived by breaking down and analyzing its technical indicators over time. MAY Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of MAY BAKER NIGERIA. In general, you should focus on analyzing MAY Stock price patterns and their correlations with different microeconomic environments and drivers.
MAY BAKER Predictive Forecast Models
MAY BAKER's time-series forecasting models is one of many MAY BAKER'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 MAY BAKER'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 MAY BAKER 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, MAY BAKER's short interest history, or implied volatility extrapolated from MAY BAKER options trading.