Morgan Co (Zimbabwe) Probability of Future Stock Price Finishing Over 5.00
| MIZ Stock | 5.00 0.02 0.40% |
Morgan |
Morgan Co Target Price Odds to finish over 5.00
The tendency of Morgan 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 |
| 5.00 | 90 days | 5.00 | about 28.77 |
Based on a normal probability distribution, the odds of Morgan Co to move above the current price in 90 days from now is about 28.77 (This Morgan Co Made probability density function shows the probability of Morgan Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Morgan Co Made has a beta of -0.0196. This indicates as returns on the benchmark increase, returns on holding Morgan Co are expected to decrease at a much lower rate. During a bear market, however, Morgan Co Made is likely to outperform the market. Moreover Morgan Co Made has an alpha of 1.9033, implying that it can generate a 1.9 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Morgan Co Price Density |
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Predictive Modules for Morgan Co
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Morgan Co Made. 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 Morgan Co'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.
Morgan Co Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Morgan Co is not an exception. The market had few large corrections towards the Morgan Co'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 Morgan Co Made, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Morgan Co within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 1.90 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 1.00 | |
Ir | Information ratio | 0.36 |
Morgan Co Technical Analysis
Morgan Co's future price can be derived by breaking down and analyzing its technical indicators over time. Morgan Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Morgan Co Made. In general, you should focus on analyzing Morgan Stock price patterns and their correlations with different microeconomic environments and drivers.
Morgan Co Predictive Forecast Models
Morgan Co's time-series forecasting models is one of many Morgan Co'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 Morgan Co'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 Morgan Co 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, Morgan Co's short interest history, or implied volatility extrapolated from Morgan Co options trading.