Joint Stock (Vietnam) Probability of Future Stock Price Finishing Under 40,236
| BID Stock | 40,400 200.00 0.50% |
Joint |
Joint Stock Target Price Odds to finish below 40,236
The tendency of Joint 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 move below current price in 90 days |
| 40,400 | 90 days | 40,400 | about 75.52 |
Based on a normal probability distribution, the odds of Joint Stock to move below current price in 90 days from now is about 75.52 (This Joint Stock Commercial probability density function shows the probability of Joint Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Joint Stock Commercial has a beta of -0.24 suggesting as returns on the benchmark increase, returns on holding Joint Stock are expected to decrease at a much lower rate. During a bear market, however, Joint Stock Commercial is likely to outperform the market. Additionally Joint Stock Commercial has an alpha of 0.0744, implying that it can generate a 0.0744 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Joint Stock Price Density |
| Price |
Predictive Modules for Joint Stock
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Joint Stock Commercial. 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.Joint Stock Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Joint Stock is not an exception. The market had few large corrections towards the Joint Stock'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 Joint Stock Commercial, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Joint Stock within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | -0.24 | |
σ | Overall volatility | 1,082 | |
Ir | Information ratio | 0.24 |
Joint Stock Technical Analysis
Joint Stock's future price can be derived by breaking down and analyzing its technical indicators over time. Joint Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Joint Stock Commercial. In general, you should focus on analyzing Joint Stock price patterns and their correlations with different microeconomic environments and drivers.
Joint Stock Predictive Forecast Models
Joint Stock's time-series forecasting models is one of many Joint Stock'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 Joint Stock'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 Joint Stock 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, Joint Stock's short interest history, or implied volatility extrapolated from Joint Stock options trading.
Other Information on Investing in Joint Stock
Joint Stock financial ratios help investors to determine whether Joint 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 Joint with respect to the benefits of owning Joint Stock security.