Ssangyong Materials (Korea) Probability of Future Stock Price Finishing Under 1962.45
| 047400 Stock | 2,390 40.00 1.65% |
Ssangyong |
Ssangyong Materials Target Price Odds to finish below 1962.45
The tendency of Ssangyong 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 1,962 or more in 90 days |
| 2,390 | 90 days | 1,962 | about 1.29 |
Based on a normal probability distribution, the odds of Ssangyong Materials to drop to 1,962 or more in 90 days from now is about 1.29 (This Ssangyong Materials Corp probability density function shows the probability of Ssangyong Stock to fall within a particular range of prices over 90 days) . Probability of Ssangyong Materials Corp price to stay between 1,962 and its current price of 2390.0 at the end of the 90-day period is about 83.39 .
Assuming the 90 days trading horizon Ssangyong Materials Corp has a beta of -0.52. This suggests as returns on the benchmark increase, returns on holding Ssangyong Materials are expected to decrease at a much lower rate. During a bear market, however, Ssangyong Materials Corp is likely to outperform the market. Additionally Ssangyong Materials Corp has an alpha of 0.2041, implying that it can generate a 0.2 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Ssangyong Materials Price Density |
| Price |
Predictive Modules for Ssangyong Materials
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ssangyong Materials Corp. 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.Ssangyong Materials Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Ssangyong Materials is not an exception. The market had few large corrections towards the Ssangyong Materials' 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 Ssangyong Materials Corp, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Ssangyong Materials within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.20 | |
β | Beta against Dow Jones | -0.52 | |
σ | Overall volatility | 131.61 | |
Ir | Information ratio | 0 |
Ssangyong Materials Technical Analysis
Ssangyong Materials' future price can be derived by breaking down and analyzing its technical indicators over time. Ssangyong Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Ssangyong Materials Corp. In general, you should focus on analyzing Ssangyong Stock price patterns and their correlations with different microeconomic environments and drivers.
Ssangyong Materials Predictive Forecast Models
Ssangyong Materials' time-series forecasting models is one of many Ssangyong Materials' 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 Ssangyong Materials' 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 Ssangyong Materials 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, Ssangyong Materials' short interest history, or implied volatility extrapolated from Ssangyong Materials options trading.
Other Information on Investing in Ssangyong Stock
Ssangyong Materials financial ratios help investors to determine whether Ssangyong 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 Ssangyong with respect to the benefits of owning Ssangyong Materials security.