E M (Sri Lanka) Chance of Future Stock Price Finishing Under 4.6
| EMLN0000 | 3.80 0.10 2.70% |
EMLN0000 |
E M Target Price Odds to finish below 4.6
The tendency of EMLN0000 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 under 4.60 after 90 days |
| 3.80 | 90 days | 4.60 | close to 99 |
Based on a normal probability distribution, the odds of E M to stay under 4.60 after 90 days from now is close to 99 (This E M L probability density function shows the probability of EMLN0000 Stock to fall within a particular range of prices over 90 days) . Probability of E M L price to stay between its current price of 3.80 and 4.60 at the end of the 90-day period is about 6.11 .
Assuming the 90 days trading horizon E M has a beta of 0.94 suggesting E M L market returns are sensitive to returns on the market. As the market goes up or down, E M is expected to follow. Additionally E M L has an alpha of 0.37, implying that it can generate a 0.37 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). E M Price Density |
| Price |
Predictive Modules for E M
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as E M L. 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.E M Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. E M is not an exception. The market had few large corrections towards the E M'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 E M L, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of E M within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.37 | |
β | Beta against Dow Jones | 0.94 | |
σ | Overall volatility | 0.22 | |
Ir | Information ratio | 0.08 |
E M 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 E M for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for E M L can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| E M L had very high historical volatility over the last 90 days |
E M Technical Analysis
E M's future price can be derived by breaking down and analyzing its technical indicators over time. EMLN0000 Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of E M L. In general, you should focus on analyzing EMLN0000 Stock price patterns and their correlations with different microeconomic environments and drivers.
E M Predictive Forecast Models
E M's time-series forecasting models is one of many E M'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 E M'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 E M L
Checking the ongoing alerts about E M for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for E M L help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| E M L had very high historical volatility over the last 90 days |
Other Information on Investing in EMLN0000 Stock
E M financial ratios help investors to determine whether EMLN0000 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 EMLN0000 with respect to the benefits of owning E M security.