Great Rich (Korea) Probability of Future Stock Price Finishing Over 3,889
| 900290 Stock | 3,530 20.00 0.57% |
Great |
Great Rich Target Price Odds to finish over 3,889
The tendency of Great 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 |
| 3,530 | 90 days | 3,530 | about 70.39 |
Based on a normal probability distribution, the odds of Great Rich to move above the current price in 90 days from now is about 70.39 (This Great Rich Technologies probability density function shows the probability of Great Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon the stock has the beta coefficient of 1.27 . This suggests as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Great Rich will likely underperform. Additionally Great Rich Technologies has an alpha of 0.1424, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Great Rich Price Density |
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Predictive Modules for Great Rich
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Great Rich Technologies. 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.Great Rich Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Great Rich is not an exception. The market had few large corrections towards the Great Rich'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 Great Rich Technologies, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Great Rich within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | 1.27 | |
σ | Overall volatility | 411.88 | |
Ir | Information ratio | 0.03 |
Great Rich Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Great Rich for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Great Rich Technologies can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Great Rich generated a negative expected return over the last 90 days | |
| Great Rich has high historical volatility and very poor performance |
Great Rich Technical Analysis
Great Rich's future price can be derived by breaking down and analyzing its technical indicators over time. Great Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Great Rich Technologies. In general, you should focus on analyzing Great Stock price patterns and their correlations with different microeconomic environments and drivers.
Great Rich Predictive Forecast Models
Great Rich's time-series forecasting models is one of many Great Rich'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 Great Rich'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.
Things to note about Great Rich Technologies
Checking the ongoing alerts about Great Rich for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Great Rich Technologies help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Great Rich generated a negative expected return over the last 90 days | |
| Great Rich has high historical volatility and very poor performance |
Other Information on Investing in Great Stock
Great Rich financial ratios help investors to determine whether Great 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 Great with respect to the benefits of owning Great Rich security.