Lgerin Egill (Iceland) Probability of Future Stock Price Finishing Over 17.32
| OLGERD Stock | 17.60 0.10 0.56% |
Lgerin |
Lgerin Egill Target Price Odds to finish over 17.32
The tendency of Lgerin 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 17.32 in 90 days |
| 17.60 | 90 days | 17.32 | about 45.76 |
Based on a normal probability distribution, the odds of Lgerin Egill to stay above 17.32 in 90 days from now is about 45.76 (This lgerin Egill Skallagrmsson probability density function shows the probability of Lgerin Stock to fall within a particular range of prices over 90 days) . Probability of lgerin Egill Skallag price to stay between 17.32 and its current price of 17.6 at the end of the 90-day period is about 21.63 .
Assuming the 90 days trading horizon lgerin Egill Skallagrmsson has a beta of -0.23. This indicates as returns on the benchmark increase, returns on holding Lgerin Egill are expected to decrease at a much lower rate. During a bear market, however, lgerin Egill Skallagrmsson is likely to outperform the market. Additionally Lgerin Egill Skallagrmsson has an alpha of 0.0198, implying that it can generate a 0.0198 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Lgerin Egill Price Density |
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Predictive Modules for Lgerin Egill
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as lgerin Egill Skallag. 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.Lgerin Egill Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Lgerin Egill is not an exception. The market had few large corrections towards the Lgerin Egill'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 lgerin Egill Skallagrmsson, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Lgerin Egill within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.23 | |
σ | Overall volatility | 0.47 | |
Ir | Information ratio | -0.07 |
Lgerin Egill Technical Analysis
Lgerin Egill's future price can be derived by breaking down and analyzing its technical indicators over time. Lgerin Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of lgerin Egill Skallagrmsson. In general, you should focus on analyzing Lgerin Stock price patterns and their correlations with different microeconomic environments and drivers.
Lgerin Egill Predictive Forecast Models
Lgerin Egill's time-series forecasting models is one of many Lgerin Egill'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 Lgerin Egill'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 Lgerin Egill 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, Lgerin Egill's short interest history, or implied volatility extrapolated from Lgerin Egill options trading.