JPM Eurozone (Germany) Probability of Future Etf Price Finishing Over 33.28
| JRZD Etf | 33.28 0.07 0.21% |
JPM |
JPM Eurozone Target Price Odds to finish over 33.28
The tendency of JPM 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 move above the current price in 90 days |
| 33.28 | 90 days | 33.28 | about 31.07 |
Based on a normal probability distribution, the odds of JPM Eurozone to move above the current price in 90 days from now is about 31.07 (This JPM Eurozone Research probability density function shows the probability of JPM Etf to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon JPM Eurozone Research has a beta of -0.0228. This indicates as returns on the benchmark increase, returns on holding JPM Eurozone are expected to decrease at a much lower rate. During a bear market, however, JPM Eurozone Research is likely to outperform the market. Additionally JPM Eurozone Research has an alpha of 0.1351, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). JPM Eurozone Price Density |
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Predictive Modules for JPM Eurozone
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JPM Eurozone Research. 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.JPM Eurozone Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. JPM Eurozone is not an exception. The market had few large corrections towards the JPM Eurozone'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 JPM Eurozone Research, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of JPM Eurozone within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 0.83 | |
Ir | Information ratio | -0.0053 |
JPM Eurozone Technical Analysis
JPM Eurozone's future price can be derived by breaking down and analyzing its technical indicators over time. JPM Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of JPM Eurozone Research. In general, you should focus on analyzing JPM Etf price patterns and their correlations with different microeconomic environments and drivers.
JPM Eurozone Predictive Forecast Models
JPM Eurozone's time-series forecasting models is one of many JPM Eurozone'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 JPM Eurozone'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 JPM Eurozone 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, JPM Eurozone's short interest history, or implied volatility extrapolated from JPM Eurozone options trading.