Turism Hotelur (Romania) Probability of Future Stock Price Finishing Over 9.79
| EFO Stock | 0.42 0.03 6.67% |
Turism |
Turism Hotelur Target Price Odds to finish over 9.79
The tendency of Turism 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 9.79 or more in 90 days |
| 0.42 | 90 days | 9.79 | close to zero percent |
Based on a normal probability distribution, the odds of Turism Hotelur to move over 9.79 or more in 90 days from now is close to zero percent (This Turism Hotelur probability density function shows the probability of Turism Stock to fall within a particular range of prices over 90 days) . Probability of Turism Hotelur price to stay between its current price of 0.42 and 9.79 at the end of the 90-day period is about 50.0 .
Assuming the 90 days trading horizon Turism Hotelur has a beta of -0.9 suggesting Additionally Turism Hotelur has an alpha of 0.1918, implying that it can generate a 0.19 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Turism Hotelur Price Density |
| Price |
Predictive Modules for Turism Hotelur
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Turism Hotelur. 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.Turism Hotelur Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Turism Hotelur is not an exception. The market had few large corrections towards the Turism Hotelur'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 Turism Hotelur, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Turism Hotelur within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.19 | |
β | Beta against Dow Jones | -0.9 | |
σ | Overall volatility | 0.02 | |
Ir | Information ratio | -0.02 |
Turism Hotelur Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Turism Hotelur for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Turism Hotelur can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Turism Hotelur generated a negative expected return over the last 90 days | |
| Turism Hotelur has some characteristics of a very speculative penny stock | |
| Turism Hotelur has high historical volatility and very poor performance |
Turism Hotelur Technical Analysis
Turism Hotelur's future price can be derived by breaking down and analyzing its technical indicators over time. Turism Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Turism Hotelur. In general, you should focus on analyzing Turism Stock price patterns and their correlations with different microeconomic environments and drivers.
Turism Hotelur Predictive Forecast Models
Turism Hotelur's time-series forecasting models is one of many Turism Hotelur'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 Turism Hotelur'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.
Things to note about Turism Hotelur
Checking the ongoing alerts about Turism Hotelur for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Turism Hotelur help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Turism Hotelur generated a negative expected return over the last 90 days | |
| Turism Hotelur has some characteristics of a very speculative penny stock | |
| Turism Hotelur has high historical volatility and very poor performance |
Other Information on Investing in Turism Stock
Turism Hotelur financial ratios help investors to determine whether Turism Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Turism with respect to the benefits of owning Turism Hotelur security.