GEVORKYAN (Czech Republic) Probability of Future Stock Price Finishing Under 273.42
| GEV Stock | 274.00 0.00 0.00% |
GEVORKYAN |
GEVORKYAN Target Price Odds to finish below 273.42
The tendency of GEVORKYAN 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 273.42 or more in 90 days |
| 274.00 | 90 days | 273.42 | about 88.85 |
Based on a normal probability distribution, the odds of GEVORKYAN to drop to 273.42 or more in 90 days from now is about 88.85 (This GEVORKYAN as probability density function shows the probability of GEVORKYAN Stock to fall within a particular range of prices over 90 days) . Probability of GEVORKYAN as price to stay between 273.42 and its current price of 274.0 at the end of the 90-day period is about 1.44 .
Assuming the 90 days trading horizon GEVORKYAN has a beta of 0.14. This usually indicates as returns on the market go up, GEVORKYAN average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding GEVORKYAN as will be expected to be much smaller as well. Additionally GEVORKYAN as has an alpha of 0.0956, implying that it can generate a 0.0956 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). GEVORKYAN Price Density |
| Price |
Predictive Modules for GEVORKYAN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GEVORKYAN as. 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.GEVORKYAN Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GEVORKYAN is not an exception. The market had few large corrections towards the GEVORKYAN'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 GEVORKYAN as, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GEVORKYAN within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.1 | |
β | Beta against Dow Jones | 0.14 | |
σ | Overall volatility | 7.17 | |
Ir | Information ratio | 0.07 |
GEVORKYAN Technical Analysis
GEVORKYAN's future price can be derived by breaking down and analyzing its technical indicators over time. GEVORKYAN Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GEVORKYAN as. In general, you should focus on analyzing GEVORKYAN Stock price patterns and their correlations with different microeconomic environments and drivers.
GEVORKYAN Predictive Forecast Models
GEVORKYAN's time-series forecasting models is one of many GEVORKYAN'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 GEVORKYAN'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 GEVORKYAN 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, GEVORKYAN's short interest history, or implied volatility extrapolated from GEVORKYAN options trading.
Additional Tools for GEVORKYAN Stock Analysis
When running GEVORKYAN's price analysis, check to measure GEVORKYAN'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 GEVORKYAN is operating at the current time. Most of GEVORKYAN's value examination focuses on studying past and present price action to predict the probability of GEVORKYAN's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GEVORKYAN's price. Additionally, you may evaluate how the addition of GEVORKYAN to your portfolios can decrease your overall portfolio volatility.