159005 (China) Chance of Future Etf Price Finishing Over 99.74
| 159005 Etf | 100.00 0.00 0.00% |
159005 |
159005 Target Price Odds to finish over 99.74
The tendency of 159005 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 99.74 in 90 days |
| 100.00 | 90 days | 99.74 | about 69.15 |
Based on a normal probability distribution, the odds of 159005 to stay above 99.74 in 90 days from now is about 69.15 (This 159005 probability density function shows the probability of 159005 Etf to fall within a particular range of prices over 90 days) . Probability of 159005 price to stay between 99.74 and its current price of 100.0 at the end of the 90-day period is about 60.41 .
Assuming the 90 days trading horizon 159005 has a beta of -0.0088. This suggests as returns on the benchmark increase, returns on holding 159005 are expected to decrease at a much lower rate. During a bear market, however, 159005 is likely to outperform the market. Additionally 159005 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. 159005 Price Density |
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Predictive Modules for 159005
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as 159005. 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.159005 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. 159005 is not an exception. The market had few large corrections towards the 159005'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 159005, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of 159005 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0032 | |
β | Beta against Dow Jones | -0.0088 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | -3.67 |
159005 Technical Analysis
159005's future price can be derived by breaking down and analyzing its technical indicators over time. 159005 Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of 159005. In general, you should focus on analyzing 159005 Etf price patterns and their correlations with different microeconomic environments and drivers.
159005 Predictive Forecast Models
159005's time-series forecasting models is one of many 159005'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 159005'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 159005 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, 159005's short interest history, or implied volatility extrapolated from 159005 options trading.