Fawry For (Egypt) Probability of Future Stock Price Finishing Over 11.63
| FWRY Stock | 8.23 0.15 1.79% |
Fawry |
Fawry For Target Price Odds to finish over 11.63
The tendency of Fawry 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 over 11.63 or more in 90 days |
| 8.23 | 90 days | 11.63 | near 1 |
Based on a normal probability distribution, the odds of Fawry For to move over 11.63 or more in 90 days from now is near 1 (This Fawry For Banking probability density function shows the probability of Fawry Stock to fall within a particular range of prices over 90 days) . Probability of Fawry For Banking price to stay between its current price of 8.23 and 11.63 at the end of the 90-day period is about 23.23 .
Assuming the 90 days trading horizon Fawry For has a beta of 0.55. This usually indicates as returns on the market go up, Fawry For average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Fawry For Banking will be expected to be much smaller as well. Additionally Fawry For Banking has an alpha of 0.2536, implying that it can generate a 0.25 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Fawry For Price Density |
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Predictive Modules for Fawry For
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fawry For Banking. 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.Fawry For Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Fawry For is not an exception. The market had few large corrections towards the Fawry For'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 Fawry For Banking, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fawry For within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.25 | |
β | Beta against Dow Jones | 0.55 | |
σ | Overall volatility | 0.67 | |
Ir | Information ratio | 0.08 |
Fawry For Technical Analysis
Fawry For's future price can be derived by breaking down and analyzing its technical indicators over time. Fawry Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fawry For Banking. In general, you should focus on analyzing Fawry Stock price patterns and their correlations with different microeconomic environments and drivers.
Fawry For Predictive Forecast Models
Fawry For's time-series forecasting models is one of many Fawry For'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 Fawry For'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 Fawry For 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, Fawry For's short interest history, or implied volatility extrapolated from Fawry For options trading.