Cshg Jhsf (Brazil) Probability of Future Fund Price Finishing Over 119.15
| HGPO11 Fund | 128.03 0.31 0.24% |
Cshg |
Cshg Jhsf Target Price Odds to finish over 119.15
The tendency of Cshg Fund 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 119.15 in 90 days |
| 128.03 | 90 days | 119.15 | about 99.0 |
Based on a normal probability distribution, the odds of Cshg Jhsf to stay above 119.15 in 90 days from now is about 99.0 (This Cshg Jhsf Prime probability density function shows the probability of Cshg Fund to fall within a particular range of prices over 90 days) . Probability of Cshg Jhsf Prime price to stay between 119.15 and its current price of 128.03 at the end of the 90-day period is about 88.52 .
Assuming the 90 days trading horizon Cshg Jhsf Prime has a beta of -0.1. This usually indicates as returns on the benchmark increase, returns on holding Cshg Jhsf are expected to decrease at a much lower rate. During a bear market, however, Cshg Jhsf Prime is likely to outperform the market. Additionally Cshg Jhsf Prime has an alpha of 0.0678, implying that it can generate a 0.0678 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Cshg Jhsf Price Density |
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Predictive Modules for Cshg Jhsf
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cshg Jhsf Prime. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.Cshg Jhsf Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Cshg Jhsf is not an exception. The market had few large corrections towards the Cshg Jhsf'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 Cshg Jhsf Prime, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Cshg Jhsf within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 2.52 | |
Ir | Information ratio | 0.06 |
Cshg Jhsf Technical Analysis
Cshg Jhsf's future price can be derived by breaking down and analyzing its technical indicators over time. Cshg Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Cshg Jhsf Prime. In general, you should focus on analyzing Cshg Fund price patterns and their correlations with different microeconomic environments and drivers.
Cshg Jhsf Predictive Forecast Models
Cshg Jhsf's time-series forecasting models is one of many Cshg Jhsf's fund 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 Cshg Jhsf'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 fund 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 Cshg Jhsf 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, Cshg Jhsf's short interest history, or implied volatility extrapolated from Cshg Jhsf options trading.
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