Seoul Food (Korea) Probability of Future Stock Price Finishing Over 156.0
| 004410 Stock | 156.00 7.00 4.70% |
Seoul |
Seoul Food Target Price Odds to finish over 156.0
The tendency of Seoul 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 |
| 156.00 | 90 days | 156.00 | about 75.21 |
Based on a normal probability distribution, the odds of Seoul Food to move above the current price in 90 days from now is about 75.21 (This Seoul Food Industrial probability density function shows the probability of Seoul Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Seoul Food has a beta of 0.0268. This suggests as returns on the market go up, Seoul Food average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Seoul Food Industrial will be expected to be much smaller as well. Additionally Seoul Food Industrial 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. Seoul Food Price Density |
| Price |
Predictive Modules for Seoul Food
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Seoul Food Industrial. 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.Seoul Food Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Seoul Food is not an exception. The market had few large corrections towards the Seoul Food'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 Seoul Food Industrial, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Seoul Food within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.15 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 6.96 | |
Ir | Information ratio | -0.24 |
Seoul Food 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 Seoul Food for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Seoul Food Industrial can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Seoul Food generated a negative expected return over the last 90 days |
Seoul Food Technical Analysis
Seoul Food's future price can be derived by breaking down and analyzing its technical indicators over time. Seoul Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Seoul Food Industrial. In general, you should focus on analyzing Seoul Stock price patterns and their correlations with different microeconomic environments and drivers.
Seoul Food Predictive Forecast Models
Seoul Food's time-series forecasting models is one of many Seoul Food'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 Seoul Food'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.
Things to note about Seoul Food Industrial
Checking the ongoing alerts about Seoul Food for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Seoul Food Industrial help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Seoul Food generated a negative expected return over the last 90 days |
Other Information on Investing in Seoul Stock
Seoul Food financial ratios help investors to determine whether Seoul 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 Seoul with respect to the benefits of owning Seoul Food security.