Youngbo Chemical (Korea) Probability of Future Stock Price Finishing Under 3385.0
| 014440 Stock | 3,430 60.00 1.72% |
Youngbo |
Youngbo Chemical Target Price Odds to finish below 3385.0
The tendency of Youngbo 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 3,385 or more in 90 days |
| 3,430 | 90 days | 3,385 | about 22.8 |
Based on a normal probability distribution, the odds of Youngbo Chemical to drop to 3,385 or more in 90 days from now is about 22.8 (This Youngbo Chemical Co probability density function shows the probability of Youngbo Stock to fall within a particular range of prices over 90 days) . Probability of Youngbo Chemical price to stay between 3,385 and its current price of 3430.0 at the end of the 90-day period is about 41.28 .
Assuming the 90 days trading horizon Youngbo Chemical Co has a beta of -0.12. This suggests as returns on the benchmark increase, returns on holding Youngbo Chemical are expected to decrease at a much lower rate. During a bear market, however, Youngbo Chemical Co is likely to outperform the market. Additionally Youngbo Chemical 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. Youngbo Chemical Price Density |
| Price |
Predictive Modules for Youngbo Chemical
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Youngbo Chemical. 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.Youngbo Chemical Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Youngbo Chemical is not an exception. The market had few large corrections towards the Youngbo Chemical'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 Youngbo Chemical Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Youngbo Chemical within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.01 | |
β | Beta against Dow Jones | -0.12 | |
σ | Overall volatility | 40.83 | |
Ir | Information ratio | -0.2 |
Youngbo Chemical Technical Analysis
Youngbo Chemical's future price can be derived by breaking down and analyzing its technical indicators over time. Youngbo Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Youngbo Chemical Co. In general, you should focus on analyzing Youngbo Stock price patterns and their correlations with different microeconomic environments and drivers.
Youngbo Chemical Predictive Forecast Models
Youngbo Chemical's time-series forecasting models is one of many Youngbo Chemical'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 Youngbo Chemical'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 Youngbo Chemical 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, Youngbo Chemical's short interest history, or implied volatility extrapolated from Youngbo Chemical options trading.
Other Information on Investing in Youngbo Stock
Youngbo Chemical financial ratios help investors to determine whether Youngbo 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 Youngbo with respect to the benefits of owning Youngbo Chemical security.