Snet Systems (Korea) Probability of Future Stock Price Finishing Over 4,388
| 038680 Stock | KRW 4,140 125.00 2.93% |
Snet |
Snet Systems Target Price Odds to finish over 4,388
The tendency of Snet 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 above the current price in 90 days |
| 4,140 | 90 days | 4,140 | about 19.63 |
Based on a normal probability distribution, the odds of Snet Systems to move above the current price in 90 days from now is about 19.63 (This Snet systems probability density function shows the probability of Snet Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Snet Systems has a beta of 0.0521. This suggests as returns on the market go up, Snet Systems average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Snet systems will be expected to be much smaller as well. Additionally Snet systems has an alpha of 0.1188, implying that it can generate a 0.12 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Snet Systems Price Density |
| Price |
Predictive Modules for Snet Systems
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Snet systems. 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.Snet Systems Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Snet Systems is not an exception. The market had few large corrections towards the Snet Systems' 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 Snet systems, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Snet Systems within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.12 | |
β | Beta against Dow Jones | 0.05 | |
σ | Overall volatility | 252.92 | |
Ir | Information ratio | 0.03 |
Snet Systems Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Snet Systems for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Snet systems can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Snet systems has accumulated about 32.18 B in cash with (3.9 B) of positive cash flow from operations. |
Snet Systems Technical Analysis
Snet Systems' future price can be derived by breaking down and analyzing its technical indicators over time. Snet Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Snet systems. In general, you should focus on analyzing Snet Stock price patterns and their correlations with different microeconomic environments and drivers.
Snet Systems Predictive Forecast Models
Snet Systems' time-series forecasting models is one of many Snet Systems' 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 Snet Systems' 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.
Things to note about Snet systems
Checking the ongoing alerts about Snet Systems for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Snet systems help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Snet systems has accumulated about 32.18 B in cash with (3.9 B) of positive cash flow from operations. |
Other Information on Investing in Snet Stock
Snet Systems financial ratios help investors to determine whether Snet 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 Snet with respect to the benefits of owning Snet Systems security.