Petrolimex Information (Vietnam) Probability of Future Stock Price Finishing Under 27252.38
| PIA Stock | 29,500 200.00 0.67% |
Petrolimex |
Petrolimex Information Target Price Odds to finish below 27252.38
The tendency of Petrolimex 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 drop to 27,252 or more in 90 days |
| 29,500 | 90 days | 27,252 | about 26.7 |
Based on a normal probability distribution, the odds of Petrolimex Information to drop to 27,252 or more in 90 days from now is about 26.7 (This Petrolimex Information Technology probability density function shows the probability of Petrolimex Stock to fall within a particular range of prices over 90 days) . Probability of Petrolimex Information price to stay between 27,252 and its current price of 29500.0 at the end of the 90-day period is about 66.4 .
Assuming the 90 days trading horizon Petrolimex Information Technology has a beta of -0.96 indicating Additionally Petrolimex Information Technology has an alpha of 0.0363, implying that it can generate a 0.0363 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Petrolimex Information Price Density |
| Price |
Predictive Modules for Petrolimex Information
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Petrolimex Information. 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.Petrolimex Information Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Petrolimex Information is not an exception. The market had few large corrections towards the Petrolimex Information'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 Petrolimex Information Technology, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Petrolimex Information within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.96 | |
σ | Overall volatility | 1,062 | |
Ir | Information ratio | 0.06 |
Petrolimex Information Technical Analysis
Petrolimex Information's future price can be derived by breaking down and analyzing its technical indicators over time. Petrolimex Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Petrolimex Information Technology. In general, you should focus on analyzing Petrolimex Stock price patterns and their correlations with different microeconomic environments and drivers.
Petrolimex Information Predictive Forecast Models
Petrolimex Information's time-series forecasting models is one of many Petrolimex Information'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 Petrolimex Information'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 Petrolimex Information 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, Petrolimex Information's short interest history, or implied volatility extrapolated from Petrolimex Information options trading.