Agriculture Printing (Vietnam) Probability of Future Stock Price Finishing Under 49,571
| INN Stock | 55,900 3,000 5.67% |
Agriculture |
Agriculture Printing Target Price Odds to finish below 49,571
The tendency of Agriculture 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 |
| 55,900 | 90 days | 55,900 | roughly 97.0 |
Based on a normal probability distribution, the odds of Agriculture Printing to move below current price in 90 days from now is roughly 97.0 (This Agriculture Printing and probability density function shows the probability of Agriculture Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Agriculture Printing and has a beta of -0.16. This usually indicates as returns on the benchmark increase, returns on holding Agriculture Printing are expected to decrease at a much lower rate. During a bear market, however, Agriculture Printing and is likely to outperform the market. Additionally Agriculture Printing and has an alpha of 0.0879, implying that it can generate a 0.0879 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Agriculture Printing Price Density |
| Price |
Predictive Modules for Agriculture Printing
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agriculture Printing and. 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.Agriculture Printing Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Agriculture Printing is not an exception. The market had few large corrections towards the Agriculture Printing'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 Agriculture Printing and, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Agriculture Printing within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | -0.16 | |
σ | Overall volatility | 915.06 | |
Ir | Information ratio | -0.03 |
Agriculture Printing Technical Analysis
Agriculture Printing's future price can be derived by breaking down and analyzing its technical indicators over time. Agriculture Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Agriculture Printing and. In general, you should focus on analyzing Agriculture Stock price patterns and their correlations with different microeconomic environments and drivers.
Agriculture Printing Predictive Forecast Models
Agriculture Printing's time-series forecasting models is one of many Agriculture Printing'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 Agriculture Printing'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 Agriculture Printing 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, Agriculture Printing's short interest history, or implied volatility extrapolated from Agriculture Printing options trading.
Other Information on Investing in Agriculture Stock
Agriculture Printing financial ratios help investors to determine whether Agriculture 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 Agriculture with respect to the benefits of owning Agriculture Printing security.