Samsung KODEX (Korea) Probability of Future Etf Price Finishing Under 7110.0
| 138910 Etf | 7,170 75.00 1.06% |
Samsung |
Samsung KODEX Target Price Odds to finish below 7110.0
The tendency of Samsung Etf 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 7,110 or more in 90 days |
| 7,170 | 90 days | 7,110 | about 22.32 |
Based on a normal probability distribution, the odds of Samsung KODEX to drop to 7,110 or more in 90 days from now is about 22.32 (This Samsung KODEX Copper probability density function shows the probability of Samsung Etf to fall within a particular range of prices over 90 days) . Probability of Samsung KODEX Copper price to stay between 7,110 and its current price of 7170.0 at the end of the 90-day period is about 6.94 .
Assuming the 90 days trading horizon Samsung KODEX Copper has a beta of -0.18. This suggests as returns on the benchmark increase, returns on holding Samsung KODEX are expected to decrease at a much lower rate. During a bear market, however, Samsung KODEX Copper is likely to outperform the market. Additionally Samsung KODEX Copper has an alpha of 0.016, implying that it can generate a 0.016 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Samsung KODEX Price Density |
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Predictive Modules for Samsung KODEX
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 KODEX Copper. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 KODEX Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Samsung KODEX is not an exception. The market had few large corrections towards the Samsung KODEX'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 KODEX Copper, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Samsung KODEX within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.18 | |
σ | Overall volatility | 279.60 | |
Ir | Information ratio | -0.09 |
Samsung KODEX Technical Analysis
Samsung KODEX's future price can be derived by breaking down and analyzing its technical indicators over time. Samsung Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Samsung KODEX Copper. In general, you should focus on analyzing Samsung Etf price patterns and their correlations with different microeconomic environments and drivers.
Samsung KODEX Predictive Forecast Models
Samsung KODEX's time-series forecasting models is one of many Samsung KODEX's etf 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 KODEX'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 etf 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 KODEX 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 KODEX's short interest history, or implied volatility extrapolated from Samsung KODEX options trading.