SungMoon Electronics (Korea) Probability of Future Stock Price Finishing Under 1187.6
| 014910 Stock | 1,205 12.00 0.99% |
SungMoon |
SungMoon Electronics Target Price Odds to finish below 1187.6
The tendency of SungMoon 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 1,188 or more in 90 days |
| 1,205 | 90 days | 1,188 | about 78.04 |
Based on a normal probability distribution, the odds of SungMoon Electronics to drop to 1,188 or more in 90 days from now is about 78.04 (This SungMoon Electronics Co probability density function shows the probability of SungMoon Stock to fall within a particular range of prices over 90 days) . Probability of SungMoon Electronics price to stay between 1,188 and its current price of 1205.0 at the end of the 90-day period is about 7.43 .
Assuming the 90 days trading horizon SungMoon Electronics has a beta of 0.18. This suggests as returns on the market go up, SungMoon Electronics average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SungMoon Electronics Co will be expected to be much smaller as well. Additionally SungMoon Electronics 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. SungMoon Electronics Price Density |
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Predictive Modules for SungMoon Electronics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SungMoon Electronics. 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.SungMoon Electronics Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SungMoon Electronics is not an exception. The market had few large corrections towards the SungMoon Electronics' 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 SungMoon Electronics Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SungMoon Electronics within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.06 | |
β | Beta against Dow Jones | 0.18 | |
σ | Overall volatility | 61.02 | |
Ir | Information ratio | -0.06 |
SungMoon Electronics Technical Analysis
SungMoon Electronics' future price can be derived by breaking down and analyzing its technical indicators over time. SungMoon Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SungMoon Electronics Co. In general, you should focus on analyzing SungMoon Stock price patterns and their correlations with different microeconomic environments and drivers.
SungMoon Electronics Predictive Forecast Models
SungMoon Electronics' time-series forecasting models is one of many SungMoon Electronics' 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 SungMoon Electronics' 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 SungMoon Electronics 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, SungMoon Electronics' short interest history, or implied volatility extrapolated from SungMoon Electronics options trading.
Other Information on Investing in SungMoon Stock
SungMoon Electronics financial ratios help investors to determine whether SungMoon 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 SungMoon with respect to the benefits of owning SungMoon Electronics security.