EX PACK (Sri Lanka) Odds of Future Stock Price Finishing Under 12.2
| PACKN0000 | 14.80 0.20 1.33% |
PACKN0000 |
EX PACK Target Price Odds to finish below 12.2
The tendency of PACKN0000 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 12.20 or more in 90 days |
| 14.80 | 90 days | 12.20 | near 1 |
Based on a normal probability distribution, the odds of EX PACK to drop to 12.20 or more in 90 days from now is near 1 (This EX PACK RUGATED CARTONS probability density function shows the probability of PACKN0000 Stock to fall within a particular range of prices over 90 days) . Probability of EX PACK RUGATED price to stay between 12.20 and its current price of 14.8 at the end of the 90-day period is over 95.5 .
Assuming the 90 days trading horizon EX PACK has a beta of 0.0808 indicating as returns on the market go up, EX PACK average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding EX PACK RUGATED CARTONS will be expected to be much smaller as well. Additionally EX PACK RUGATED CARTONS has an alpha of 0.2126, implying that it can generate a 0.21 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). EX PACK Price Density |
| Price |
Predictive Modules for EX PACK
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EX PACK RUGATED. 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.EX PACK Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. EX PACK is not an exception. The market had few large corrections towards the EX PACK'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 EX PACK RUGATED CARTONS, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of EX PACK within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.21 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 0.55 | |
Ir | Information ratio | 0.09 |
EX PACK Technical Analysis
EX PACK's future price can be derived by breaking down and analyzing its technical indicators over time. PACKN0000 Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of EX PACK RUGATED CARTONS. In general, you should focus on analyzing PACKN0000 Stock price patterns and their correlations with different microeconomic environments and drivers.
EX PACK Predictive Forecast Models
EX PACK's time-series forecasting models is one of many EX PACK'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 EX PACK'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 EX PACK 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, EX PACK's short interest history, or implied volatility extrapolated from EX PACK options trading.
Other Information on Investing in PACKN0000 Stock
EX PACK financial ratios help investors to determine whether PACKN0000 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 PACKN0000 with respect to the benefits of owning EX PACK security.