Edita Food (Egypt) Probability of Future Stock Price Finishing Under 22.09
| EFID Stock | 28.49 0.41 1.42% |
Edita |
Edita Food Target Price Odds to finish below 22.09
The tendency of Edita 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 drop to 22.09 or more in 90 days |
| 28.49 | 90 days | 22.09 | near 1 |
Based on a normal probability distribution, the odds of Edita Food to drop to 22.09 or more in 90 days from now is near 1 (This Edita Food Industries probability density function shows the probability of Edita Stock to fall within a particular range of prices over 90 days) . Probability of Edita Food Industries price to stay between 22.09 and its current price of 28.49 at the end of the 90-day period is about 29.62 .
Assuming the 90 days trading horizon Edita Food Industries has a beta of -0.35 suggesting as returns on the benchmark increase, returns on holding Edita Food are expected to decrease at a much lower rate. During a bear market, however, Edita Food Industries is likely to outperform the market. Additionally Edita Food Industries has an alpha of 0.125, implying that it can generate a 0.12 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Edita Food Price Density |
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Predictive Modules for Edita Food
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Edita Food Industries. 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.Edita Food Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Edita Food is not an exception. The market had few large corrections towards the Edita Food'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 Edita Food Industries, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Edita Food within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.12 | |
β | Beta against Dow Jones | -0.35 | |
σ | Overall volatility | 1.29 | |
Ir | Information ratio | 0 |
Edita Food Technical Analysis
Edita Food's future price can be derived by breaking down and analyzing its technical indicators over time. Edita Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Edita Food Industries. In general, you should focus on analyzing Edita Stock price patterns and their correlations with different microeconomic environments and drivers.
Edita Food Predictive Forecast Models
Edita Food's time-series forecasting models is one of many Edita Food'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 Edita Food'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 Edita Food 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, Edita Food's short interest history, or implied volatility extrapolated from Edita Food options trading.