Gap (Germany) Chance of Future Stock Price Finishing Over 19.24
GAP Stock | EUR 24.49 0.34 1.41% |
Gap |
Gap Target Price Odds to finish over 19.24
The tendency of Gap 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 19.24 in 90 days |
24.49 | 90 days | 19.24 | about 66.62 |
Based on a normal probability distribution, the odds of Gap to stay above 19.24 in 90 days from now is about 66.62 (This The Gap probability density function shows the probability of Gap Stock to fall within a particular range of prices over 90 days) . Probability of Gap price to stay between 19.24 and its current price of 24.49 at the end of the 90-day period is about 65.6 .
Assuming the 90 days trading horizon Gap has a beta of 0.77. This usually indicates as returns on the market go up, Gap average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding The Gap will be expected to be much smaller as well. Additionally The Gap has an alpha of 0.42, implying that it can generate a 0.42 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Gap Price Density |
Price |
Predictive Modules for Gap
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gap. 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.Gap Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Gap is not an exception. The market had few large corrections towards the Gap'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 The Gap, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Gap within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.42 | |
β | Beta against Dow Jones | 0.77 | |
σ | Overall volatility | 1.91 | |
Ir | Information ratio | 0.13 |
Gap Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Gap Stock often depends not only on the future outlook of the current and potential Gap's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Gap's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 371 M | |
Dividends Paid | -226 M |
Gap Technical Analysis
Gap's future price can be derived by breaking down and analyzing its technical indicators over time. Gap Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The Gap. In general, you should focus on analyzing Gap Stock price patterns and their correlations with different microeconomic environments and drivers.
Gap Predictive Forecast Models
Gap's time-series forecasting models is one of many Gap'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 Gap'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 Gap 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, Gap's short interest history, or implied volatility extrapolated from Gap options trading.
Additional Tools for Gap Stock Analysis
When running Gap's price analysis, check to measure Gap's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gap is operating at the current time. Most of Gap's value examination focuses on studying past and present price action to predict the probability of Gap's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gap's price. Additionally, you may evaluate how the addition of Gap to your portfolios can decrease your overall portfolio volatility.