Amundi Index (UK) Probability of Future Etf Price Finishing Under 39.7
| AASU Etf | 40.12 0.21 0.53% |
Amundi |
Amundi Index Target Price Odds to finish below 39.7
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 drop to 39.70 or more in 90 days |
| 40.12 | 90 days | 39.70 | about 14.97 |
Based on a normal probability distribution, the odds of Amundi Index to drop to 39.70 or more in 90 days from now is about 14.97 (This Amundi Index Solutions probability density function shows the probability of Amundi Etf to fall within a particular range of prices over 90 days) . Probability of Amundi Index Solutions price to stay between 39.70 and its current price of 40.12 at the end of the 90-day period is about 6.75 .
Assuming the 90 days trading horizon Amundi Index has a beta of 0.047. This suggests as returns on the market go up, Amundi Index average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Amundi Index Solutions will be expected to be much smaller as well. Additionally Amundi Index Solutions has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Amundi Index Price Density |
| Price |
Predictive Modules for Amundi Index
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 Index Solutions. 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.Amundi Index Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Amundi Index is not an exception. The market had few large corrections towards the Amundi Index'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 Index Solutions, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Amundi Index within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.02 | |
β | Beta against Dow Jones | 0.05 | |
σ | Overall volatility | 1.65 | |
Ir | Information ratio | -0.11 |
Amundi Index Technical Analysis
Amundi Index'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 Index Solutions. In general, you should focus on analyzing Amundi Etf price patterns and their correlations with different microeconomic environments and drivers.
Amundi Index Predictive Forecast Models
Amundi Index's time-series forecasting models is one of many Amundi Index'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 Index'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 Index 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 Index's short interest history, or implied volatility extrapolated from Amundi Index options trading.
Other Information on Investing in Amundi Etf
Amundi Index financial ratios help investors to determine whether Amundi Etf 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 Amundi with respect to the benefits of owning Amundi Index security.