Global X (UK) Odds of Future Etf Price Finishing Over 17.53
| URNU Etf | 17.89 0.11 0.61% |
Global |
Global X Target Price Odds to finish over 17.53
The tendency of Global Etf 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 17.53 in 90 days |
| 17.89 | 90 days | 17.53 | about 21.53 |
Based on a normal probability distribution, the odds of Global X to stay above 17.53 in 90 days from now is about 21.53 (This Global X Uranium probability density function shows the probability of Global Etf to fall within a particular range of prices over 90 days) . Probability of Global X Uranium price to stay between 17.53 and its current price of 17.89 at the end of the 90-day period is about 5.66 .
Assuming the 90 days trading horizon the etf has the beta coefficient of 1.09 . This usually implies Global X Uranium market returns are related to returns on the market. As the market goes up or down, Global X is expected to follow. Additionally Global X Uranium has an alpha of 0.2444, implying that it can generate a 0.24 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Global X Price Density |
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Predictive Modules for Global X
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global X Uranium. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Global X Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Global X is not an exception. The market had few large corrections towards the Global X'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 Global X Uranium, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Global X within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.24 | |
β | Beta against Dow Jones | 1.09 | |
σ | Overall volatility | 1.70 | |
Ir | Information ratio | 0.11 |
Global X Technical Analysis
Global X's future price can be derived by breaking down and analyzing its technical indicators over time. Global Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Global X Uranium. In general, you should focus on analyzing Global Etf price patterns and their correlations with different microeconomic environments and drivers.
Global X Predictive Forecast Models
Global X's time-series forecasting models is one of many Global X's etf 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 Global X'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 etf 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 Global X 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, Global X's short interest history, or implied volatility extrapolated from Global X options trading.
Check out Global X Backtesting, Portfolio Optimization, Global X Correlation, Global X Hype Analysis, Global X Volatility, Global X History as well as Global X Performance. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.