Amundi EUR (Switzerland) Probability of Future Etf Price Finishing Over 10.47
| PR1CH Etf | 10.47 0.01 0.1% |
Amundi |
Amundi EUR Target Price Odds to finish over 10.47
The tendency of Amundi 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 |
| 10.47 | 90 days | 10.47 | roughly 2.03 |
Based on a normal probability distribution, the odds of Amundi EUR to move above the current price in 90 days from now is roughly 2.03 (This Amundi EUR PO probability density function shows the probability of Amundi Etf to fall within a particular range of prices over 90 days) .
Amundi EUR Price Density |
| Price |
Predictive Modules for Amundi EUR
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Amundi EUR PO. 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as Amundi EUR. Your research has to be compared to or analyzed against Amundi EUR's peers to derive any actionable benefits. When done correctly, Amundi EUR's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Amundi EUR PO.Amundi EUR Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Amundi EUR is not an exception. The market had few large corrections towards the Amundi EUR'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 Amundi EUR PO, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Amundi EUR within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.003 | |
β | Beta against Dow Jones | -0.04 | |
σ | Overall volatility | 0.03 | |
Ir | Information ratio | -0.45 |
Amundi EUR Technical Analysis
Amundi EUR's future price can be derived by breaking down and analyzing its technical indicators over time. Amundi Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Amundi EUR PO. In general, you should focus on analyzing Amundi Etf price patterns and their correlations with different microeconomic environments and drivers.
Amundi EUR Predictive Forecast Models
Amundi EUR's time-series forecasting models is one of many Amundi EUR'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 Amundi EUR'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 Amundi EUR 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, Amundi EUR's short interest history, or implied volatility extrapolated from Amundi EUR options trading.