VTC Telecommunicatio (Vietnam) Probability of Future Stock Price Finishing Over 8363.63
| VTC Stock | 8,500 100.00 1.19% |
VTC |
VTC Telecommunicatio Target Price Odds to finish over 8363.63
The tendency of VTC Stock 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 8,364 in 90 days |
| 8,500 | 90 days | 8,364 | about 72.81 |
Based on a normal probability distribution, the odds of VTC Telecommunicatio to stay above 8,364 in 90 days from now is about 72.81 (This VTC Telecommunications JSC probability density function shows the probability of VTC Stock to fall within a particular range of prices over 90 days) . Probability of VTC Telecommunications price to stay between 8,364 and its current price of 8500.0 at the end of the 90-day period is about 22.81 .
Assuming the 90 days trading horizon VTC Telecommunicatio has a beta of 0.0435. This entails as returns on the market go up, VTC Telecommunicatio average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding VTC Telecommunications JSC will be expected to be much smaller as well. Additionally VTC Telecommunications JSC has an alpha of 0.0178, implying that it can generate a 0.0178 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). VTC Telecommunicatio Price Density |
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Predictive Modules for VTC Telecommunicatio
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VTC Telecommunications. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.VTC Telecommunicatio Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. VTC Telecommunicatio is not an exception. The market had few large corrections towards the VTC Telecommunicatio'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 VTC Telecommunications JSC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of VTC Telecommunicatio within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.04 | |
σ | Overall volatility | 224.64 | |
Ir | Information ratio | -0.04 |
VTC Telecommunicatio Technical Analysis
VTC Telecommunicatio's future price can be derived by breaking down and analyzing its technical indicators over time. VTC Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of VTC Telecommunications JSC. In general, you should focus on analyzing VTC Stock price patterns and their correlations with different microeconomic environments and drivers.
VTC Telecommunicatio Predictive Forecast Models
VTC Telecommunicatio's time-series forecasting models is one of many VTC Telecommunicatio's stock 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 VTC Telecommunicatio'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 stock 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 VTC Telecommunicatio 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, VTC Telecommunicatio's short interest history, or implied volatility extrapolated from VTC Telecommunicatio options trading.