VN 30 (Vietnam) Chance of Future Index Price Finishing Over 1360.58
| VNI30 Index | 1,336 0.33 0.02% |
VN 30 Target Price Odds to finish over 1360.58
The tendency of VNI30 Index 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 move over 1,361 or more in 90 days |
| 1,336 | 90 days | 1,361 | about 8.03 |
Based on a normal probability distribution, the odds of VN 30 to move over 1,361 or more in 90 days from now is about 8.03 (This VN 30 probability density function shows the probability of VNI30 Index to fall within a particular range of prices over 90 days) . Probability of VN 30 price to stay between its current price of 1,336 and 1,361 at the end of the 90-day period is about 23.32 .
VN 30 Price Density |
| Price |
Predictive Modules for VN 30
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VN 30. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.VN 30 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. VN 30 is not an exception. The market had few large corrections towards the VN 30'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 VN 30, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of VN 30 within the framework of very fundamental risk indicators.VN 30 Technical Analysis
VN 30's future price can be derived by breaking down and analyzing its technical indicators over time. VNI30 Index technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of VN 30. In general, you should focus on analyzing VNI30 Index price patterns and their correlations with different microeconomic environments and drivers.
VN 30 Predictive Forecast Models
VN 30's time-series forecasting models is one of many VN 30's index 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 VN 30'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 index 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 VN 30 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, VN 30's short interest history, or implied volatility extrapolated from VN 30 options trading.