Samyung Trading (Korea) Probability of Future Stock Price Finishing Over 12819.73
| 002810 Stock | 13,000 40.00 0.31% |
Samyung |
Samyung Trading Target Price Odds to finish over 12819.73
The tendency of Samyung 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 above 12,820 in 90 days |
| 13,000 | 90 days | 12,820 | about 43.44 |
Based on a normal probability distribution, the odds of Samyung Trading to stay above 12,820 in 90 days from now is about 43.44 (This Samyung Trading Co probability density function shows the probability of Samyung Stock to fall within a particular range of prices over 90 days) . Probability of Samyung Trading price to stay between 12,820 and its current price of 13000.0 at the end of the 90-day period is about 35.12 .
Assuming the 90 days trading horizon Samyung Trading has a beta of 0.0254. This suggests as returns on the market go up, Samyung Trading average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Samyung Trading Co will be expected to be much smaller as well. Additionally Samyung Trading Co 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. Samyung Trading Price Density |
| Price |
Predictive Modules for Samyung Trading
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Samyung Trading. 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.Samyung Trading Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Samyung Trading is not an exception. The market had few large corrections towards the Samyung Trading'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 Samyung Trading Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Samyung Trading within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 147.94 | |
Ir | Information ratio | -0.33 |
Samyung Trading Technical Analysis
Samyung Trading's future price can be derived by breaking down and analyzing its technical indicators over time. Samyung Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Samyung Trading Co. In general, you should focus on analyzing Samyung Stock price patterns and their correlations with different microeconomic environments and drivers.
Samyung Trading Predictive Forecast Models
Samyung Trading's time-series forecasting models is one of many Samyung Trading'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 Samyung Trading'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 Samyung Trading 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, Samyung Trading's short interest history, or implied volatility extrapolated from Samyung Trading options trading.
Other Information on Investing in Samyung Stock
Samyung Trading financial ratios help investors to determine whether Samyung 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 Samyung with respect to the benefits of owning Samyung Trading security.