Telecoms Informatics (Vietnam) Probability of Future Stock Price Finishing Over 12746.63
| ICT Stock | 12,800 200.00 1.54% |
Telecoms |
Telecoms Informatics Target Price Odds to finish over 12746.63
The tendency of Telecoms 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 12,747 in 90 days |
| 12,800 | 90 days | 12,747 | about 25.84 |
Based on a normal probability distribution, the odds of Telecoms Informatics to stay above 12,747 in 90 days from now is about 25.84 (This Telecoms Informatics JSC probability density function shows the probability of Telecoms Stock to fall within a particular range of prices over 90 days) . Probability of Telecoms Informatics JSC price to stay between 12,747 and its current price of 12800.0 at the end of the 90-day period is roughly 2.89 .
Assuming the 90 days trading horizon Telecoms Informatics has a beta of 0.61. This usually indicates as returns on the market go up, Telecoms Informatics average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Telecoms Informatics JSC will be expected to be much smaller as well. Additionally Telecoms Informatics JSC has an alpha of 0.0538, implying that it can generate a 0.0538 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Telecoms Informatics Price Density |
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Predictive Modules for Telecoms Informatics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Telecoms Informatics JSC. 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.Telecoms Informatics Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Telecoms Informatics is not an exception. The market had few large corrections towards the Telecoms Informatics' 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 Telecoms Informatics JSC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Telecoms Informatics within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.05 | |
β | Beta against Dow Jones | 0.61 | |
σ | Overall volatility | 579.33 | |
Ir | Information ratio | 0 |
Telecoms Informatics Technical Analysis
Telecoms Informatics' future price can be derived by breaking down and analyzing its technical indicators over time. Telecoms Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Telecoms Informatics JSC. In general, you should focus on analyzing Telecoms Stock price patterns and their correlations with different microeconomic environments and drivers.
Telecoms Informatics Predictive Forecast Models
Telecoms Informatics' time-series forecasting models is one of many Telecoms Informatics' 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 Telecoms Informatics' 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 Telecoms Informatics 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, Telecoms Informatics' short interest history, or implied volatility extrapolated from Telecoms Informatics options trading.
Other Information on Investing in Telecoms Stock
Telecoms Informatics financial ratios help investors to determine whether Telecoms Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Telecoms with respect to the benefits of owning Telecoms Informatics security.