KIM GROWTH (Vietnam) Probability of Future Etf Price Finishing Under 8705.0
| FUEKIV30 | 8,990 80.00 0.90% |
KIM |
KIM GROWTH Target Price Odds to finish below 8705.0
The tendency of KIM 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 8,705 or more in 90 days |
| 8,990 | 90 days | 8,705 | about 21.49 |
Based on a normal probability distribution, the odds of KIM GROWTH to drop to 8,705 or more in 90 days from now is about 21.49 (This KIM GROWTH VN30 probability density function shows the probability of KIM Etf to fall within a particular range of prices over 90 days) . Probability of KIM GROWTH VN30 price to stay between 8,705 and its current price of 8990.0 at the end of the 90-day period is about 56.15 .
Assuming the 90 days trading horizon KIM GROWTH VN30 has a beta of -0.21. This usually indicates as returns on the benchmark increase, returns on holding KIM GROWTH are expected to decrease at a much lower rate. During a bear market, however, KIM GROWTH VN30 is likely to outperform the market. Additionally KIM GROWTH VN30 has an alpha of 0.0332, implying that it can generate a 0.0332 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). KIM GROWTH Price Density |
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Predictive Modules for KIM GROWTH
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KIM GROWTH VN30. 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.KIM GROWTH Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. KIM GROWTH is not an exception. The market had few large corrections towards the KIM GROWTH'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 KIM GROWTH VN30, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of KIM GROWTH within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.21 | |
σ | Overall volatility | 183.93 | |
Ir | Information ratio | -0.11 |
KIM GROWTH Technical Analysis
KIM GROWTH's future price can be derived by breaking down and analyzing its technical indicators over time. KIM Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of KIM GROWTH VN30. In general, you should focus on analyzing KIM Etf price patterns and their correlations with different microeconomic environments and drivers.
KIM GROWTH Predictive Forecast Models
KIM GROWTH's time-series forecasting models is one of many KIM GROWTH'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 KIM GROWTH'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 KIM GROWTH 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, KIM GROWTH's short interest history, or implied volatility extrapolated from KIM GROWTH options trading.