GS Engineering (Korea) Probability of Future Stock Price Finishing Under 18440.0
| 006360 Stock | 18,260 1,130 6.60% |
006360 |
GS Engineering Target Price Odds to finish below 18440.0
The tendency of 006360 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 18,440 after 90 days |
| 18,260 | 90 days | 18,440 | about 46.42 |
Based on a normal probability distribution, the odds of GS Engineering to stay under 18,440 after 90 days from now is about 46.42 (This GS Engineering Construction probability density function shows the probability of 006360 Stock to fall within a particular range of prices over 90 days) . Probability of GS Engineering Const price to stay between its current price of 18,260 and 18,440 at the end of the 90-day period is about 10.03 .
Assuming the 90 days trading horizon GS Engineering has a beta of 0.22. This suggests as returns on the market go up, GS Engineering average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding GS Engineering Construction will be expected to be much smaller as well. Additionally GS Engineering Construction has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. GS Engineering Price Density |
| Price |
Predictive Modules for GS Engineering
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GS Engineering Const. 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.GS Engineering Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GS Engineering is not an exception. The market had few large corrections towards the GS Engineering'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 GS Engineering Construction, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GS Engineering within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.17 | |
β | Beta against Dow Jones | 0.22 | |
σ | Overall volatility | 698.31 | |
Ir | Information ratio | -0.1 |
GS Engineering Technical Analysis
GS Engineering's future price can be derived by breaking down and analyzing its technical indicators over time. 006360 Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GS Engineering Construction. In general, you should focus on analyzing 006360 Stock price patterns and their correlations with different microeconomic environments and drivers.
GS Engineering Predictive Forecast Models
GS Engineering's time-series forecasting models is one of many GS Engineering'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 GS Engineering'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 GS Engineering 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, GS Engineering's short interest history, or implied volatility extrapolated from GS Engineering options trading.
Other Information on Investing in 006360 Stock
GS Engineering financial ratios help investors to determine whether 006360 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 006360 with respect to the benefits of owning GS Engineering security.