Correlation Between Ssangyong Materials and Korea New
Can any of the company-specific risk be diversified away by investing in both Ssangyong Materials and Korea New at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Ssangyong Materials and Korea New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ssangyong Materials Corp and Korea New Network, you can compare the effects of market volatilities on Ssangyong Materials and Korea New and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Ssangyong Materials with a short position of Korea New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Materials and Korea New.
Diversification Opportunities for Ssangyong Materials and Korea New
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ssangyong and Korea is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Materials Corp and Korea New Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea New Network and Ssangyong Materials is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Ssangyong Materials Corp are associated (or correlated) with Korea New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea New Network has no effect on the direction of Ssangyong Materials i.e., Ssangyong Materials and Korea New go up and down completely randomly.
Pair Corralation between Ssangyong Materials and Korea New
Assuming the 90 days trading horizon Ssangyong Materials Corp is expected to generate 1.86 times more return on investment than Korea New. However, Ssangyong Materials is 1.86 times more volatile than Korea New Network. It trades about 0.03 of its potential returns per unit of risk. Korea New Network is currently generating about -0.14 per unit of risk. If you would invest 232,000 in Ssangyong Materials Corp on September 4, 2024 and sell it today you would earn a total of 1,500 from holding Ssangyong Materials Corp or generate 0.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ssangyong Materials Corp vs. Korea New Network
Performance |
| Timeline |
| Ssangyong Materials Corp |
| Korea New Network |
Ssangyong Materials and Korea New Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ssangyong Materials and Korea New
The main advantage of trading using opposite Ssangyong Materials and Korea New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Materials position performs unexpectedly, Korea New can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Korea New will offset losses from the drop in Korea New's long position.| Ssangyong Materials vs. AptaBio Therapeutics | Ssangyong Materials vs. Daewoo SBI SPAC | Ssangyong Materials vs. Dream Security co | Ssangyong Materials vs. Microfriend |
| Korea New vs. Kukdo Chemical Co | Korea New vs. Ssangyong Materials Corp | Korea New vs. SH Energy Chemical | Korea New vs. EV Advanced Material |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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