Picomat Plastic (Vietnam) Probability of Future Stock Price Finishing Under 13019.89
| PCH Stock | 12,600 100.00 0.80% |
Picomat |
Picomat Plastic Target Price Odds to finish below 13019.89
The tendency of Picomat 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 under 13,020 after 90 days |
| 12,600 | 90 days | 13,020 | about 98.0 |
Based on a normal probability distribution, the odds of Picomat Plastic to stay under 13,020 after 90 days from now is about 98.0 (This Picomat Plastic JSC probability density function shows the probability of Picomat Stock to fall within a particular range of prices over 90 days) . Probability of Picomat Plastic JSC price to stay between its current price of 12,600 and 13,020 at the end of the 90-day period is about 9.52 .
Assuming the 90 days trading horizon Picomat Plastic has a beta of 0.0885 indicating as returns on the market go up, Picomat Plastic average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Picomat Plastic JSC will be expected to be much smaller as well. Additionally Picomat Plastic JSC has an alpha of 0.2228, implying that it can generate a 0.22 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Picomat Plastic Price Density |
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Predictive Modules for Picomat Plastic
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Picomat Plastic 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.Picomat Plastic Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Picomat Plastic is not an exception. The market had few large corrections towards the Picomat Plastic'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 Picomat Plastic JSC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Picomat Plastic within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.22 | |
β | Beta against Dow Jones | 0.09 | |
σ | Overall volatility | 457.77 | |
Ir | Information ratio | 0.08 |
Picomat Plastic Technical Analysis
Picomat Plastic's future price can be derived by breaking down and analyzing its technical indicators over time. Picomat Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Picomat Plastic JSC. In general, you should focus on analyzing Picomat Stock price patterns and their correlations with different microeconomic environments and drivers.
Picomat Plastic Predictive Forecast Models
Picomat Plastic's time-series forecasting models is one of many Picomat Plastic'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 Picomat Plastic'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 Picomat Plastic 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, Picomat Plastic's short interest history, or implied volatility extrapolated from Picomat Plastic options trading.
Other Information on Investing in Picomat Stock
Picomat Plastic financial ratios help investors to determine whether Picomat 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 Picomat with respect to the benefits of owning Picomat Plastic security.