IncomeShares Amazon (Germany) Probability of Future Etf Price Finishing Over 10.48
| OAMZ Etf | 10.69 0.06 0.56% |
IncomeShares |
IncomeShares Amazon Target Price Odds to finish over 10.48
The tendency of IncomeShares 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 10.48 in 90 days |
| 10.69 | 90 days | 10.48 | about 36.27 |
Based on a normal probability distribution, the odds of IncomeShares Amazon to stay above 10.48 in 90 days from now is about 36.27 (This IncomeShares Amazon Options probability density function shows the probability of IncomeShares Etf to fall within a particular range of prices over 90 days) . Probability of IncomeShares Amazon price to stay between 10.48 and its current price of 10.69 at the end of the 90-day period is about 18.36 .
Assuming the 90 days trading horizon IncomeShares Amazon Options has a beta of -0.0193. This indicates as returns on the benchmark increase, returns on holding IncomeShares Amazon are expected to decrease at a much lower rate. During a bear market, however, IncomeShares Amazon Options is likely to outperform the market. Additionally IncomeShares Amazon Options has an alpha of 0.2573, implying that it can generate a 0.26 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). IncomeShares Amazon Price Density |
| Price |
Predictive Modules for IncomeShares Amazon
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IncomeShares Amazon. 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.IncomeShares Amazon Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. IncomeShares Amazon is not an exception. The market had few large corrections towards the IncomeShares Amazon'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 IncomeShares Amazon Options, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of IncomeShares Amazon within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.26 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 0.37 | |
Ir | Information ratio | 0.23 |
IncomeShares Amazon Technical Analysis
IncomeShares Amazon's future price can be derived by breaking down and analyzing its technical indicators over time. IncomeShares Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of IncomeShares Amazon Options. In general, you should focus on analyzing IncomeShares Etf price patterns and their correlations with different microeconomic environments and drivers.
IncomeShares Amazon Predictive Forecast Models
IncomeShares Amazon's time-series forecasting models is one of many IncomeShares Amazon'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 IncomeShares Amazon'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 IncomeShares Amazon 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, IncomeShares Amazon's short interest history, or implied volatility extrapolated from IncomeShares Amazon options trading.