Samsung Publishing (Korea) Probability of Future Stock Price Finishing Under 15380.0
| 068290 Stock | 15,090 390.00 2.52% |
Samsung |
Samsung Publishing Target Price Odds to finish below 15380.0
The tendency of Samsung 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 under 15,380 after 90 days |
| 15,090 | 90 days | 15,380 | about 80.96 |
Based on a normal probability distribution, the odds of Samsung Publishing to stay under 15,380 after 90 days from now is about 80.96 (This Samsung Publishing Co probability density function shows the probability of Samsung Stock to fall within a particular range of prices over 90 days) . Probability of Samsung Publishing price to stay between its current price of 15,090 and 15,380 at the end of the 90-day period is about 10.87 .
Assuming the 90 days trading horizon Samsung Publishing Co has a beta of -0.16. This suggests as returns on the benchmark increase, returns on holding Samsung Publishing are expected to decrease at a much lower rate. During a bear market, however, Samsung Publishing Co is likely to outperform the market. Additionally Samsung Publishing Co has an alpha of 0.137, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Samsung Publishing Price Density |
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Predictive Modules for Samsung Publishing
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Samsung Publishing. 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.Samsung Publishing Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Samsung Publishing is not an exception. The market had few large corrections towards the Samsung Publishing'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 Samsung Publishing Co, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Samsung Publishing within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.14 | |
β | Beta against Dow Jones | -0.16 | |
σ | Overall volatility | 827.23 | |
Ir | Information ratio | 0.02 |
Samsung Publishing Technical Analysis
Samsung Publishing's future price can be derived by breaking down and analyzing its technical indicators over time. Samsung Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Samsung Publishing Co. In general, you should focus on analyzing Samsung Stock price patterns and their correlations with different microeconomic environments and drivers.
Samsung Publishing Predictive Forecast Models
Samsung Publishing's time-series forecasting models is one of many Samsung Publishing'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 Samsung Publishing'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 Samsung Publishing 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, Samsung Publishing's short interest history, or implied volatility extrapolated from Samsung Publishing options trading.
Other Information on Investing in Samsung Stock
Samsung Publishing financial ratios help investors to determine whether Samsung 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 Samsung with respect to the benefits of owning Samsung Publishing security.