Housing Development (Egypt) Probability of Future Stock Price Finishing Under 52.41
| HDBK Stock | 52.57 0.09 0.17% |
Housing |
Housing Development Target Price Odds to finish below 52.41
The tendency of Housing 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 52.41 or more in 90 days |
| 52.57 | 90 days | 52.41 | about 87.94 |
Based on a normal probability distribution, the odds of Housing Development to drop to 52.41 or more in 90 days from now is about 87.94 (This Housing Development Bank probability density function shows the probability of Housing Stock to fall within a particular range of prices over 90 days) . Probability of Housing Development Bank price to stay between 52.41 and its current price of 52.57 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Housing Development has a beta of 0.19. This usually indicates as returns on the market go up, Housing Development average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Housing Development Bank will be expected to be much smaller as well. Additionally Housing Development Bank has an alpha of 0.167, implying that it can generate a 0.17 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Housing Development Price Density |
| Price |
Predictive Modules for Housing Development
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Housing Development Bank. 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.Housing Development Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Housing Development is not an exception. The market had few large corrections towards the Housing Development'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 Housing Development Bank, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Housing Development within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.17 | |
β | Beta against Dow Jones | 0.19 | |
σ | Overall volatility | 3.57 | |
Ir | Information ratio | 0.04 |
Housing Development Technical Analysis
Housing Development's future price can be derived by breaking down and analyzing its technical indicators over time. Housing Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Housing Development Bank. In general, you should focus on analyzing Housing Stock price patterns and their correlations with different microeconomic environments and drivers.
Housing Development Predictive Forecast Models
Housing Development's time-series forecasting models is one of many Housing Development'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 Housing Development'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 Housing Development 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, Housing Development's short interest history, or implied volatility extrapolated from Housing Development options trading.