Military Insurance (Vietnam) Probability of Future Stock Price Finishing Over 17250.0
| MIG Stock | 17,450 200.00 1.16% |
Military |
Military Insurance Target Price Odds to finish over 17250.0
The tendency of Military 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 17,250 in 90 days |
| 17,450 | 90 days | 17,250 | about 38.21 |
Based on a normal probability distribution, the odds of Military Insurance to stay above 17,250 in 90 days from now is about 38.21 (This Military Insurance Corp probability density function shows the probability of Military Stock to fall within a particular range of prices over 90 days) . Probability of Military Insurance Corp price to stay between 17,250 and its current price of 17450.0 at the end of the 90-day period is about 11.05 .
Assuming the 90 days trading horizon Military Insurance has a beta of 0.26. This indicates as returns on the market go up, Military Insurance average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Military Insurance Corp will be expected to be much smaller as well. Additionally Military Insurance Corp has an alpha of 0.0438, implying that it can generate a 0.0438 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Military Insurance Price Density |
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Predictive Modules for Military Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Military Insurance Corp. 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.Military Insurance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Military Insurance is not an exception. The market had few large corrections towards the Military Insurance'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 Military Insurance Corp, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Military Insurance within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | 0.26 | |
σ | Overall volatility | 649.27 | |
Ir | Information ratio | -0.01 |
Military Insurance Technical Analysis
Military Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Military Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Military Insurance Corp. In general, you should focus on analyzing Military Stock price patterns and their correlations with different microeconomic environments and drivers.
Military Insurance Predictive Forecast Models
Military Insurance's time-series forecasting models is one of many Military Insurance'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 Military Insurance'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 Military Insurance 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, Military Insurance's short interest history, or implied volatility extrapolated from Military Insurance options trading.
Other Information on Investing in Military Stock
Military Insurance financial ratios help investors to determine whether Military Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Military with respect to the benefits of owning Military Insurance security.