Correlation Between Kukil Metal and Ssangyong Information
Can any of the company-specific risk be diversified away by investing in both Kukil Metal and Ssangyong Information 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 Kukil Metal and Ssangyong Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kukil Metal Co and Ssangyong Information Communication, you can compare the effects of market volatilities on Kukil Metal and Ssangyong Information 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 Kukil Metal with a short position of Ssangyong Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kukil Metal and Ssangyong Information.
Diversification Opportunities for Kukil Metal and Ssangyong Information
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Kukil and Ssangyong is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Kukil Metal Co and Ssangyong Information Communic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ssangyong Information and Kukil Metal 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 Kukil Metal Co are associated (or correlated) with Ssangyong Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ssangyong Information has no effect on the direction of Kukil Metal i.e., Kukil Metal and Ssangyong Information go up and down completely randomly.
Pair Corralation between Kukil Metal and Ssangyong Information
Assuming the 90 days trading horizon Kukil Metal is expected to generate 1.61 times less return on investment than Ssangyong Information. In addition to that, Kukil Metal is 1.08 times more volatile than Ssangyong Information Communication. It trades about 0.06 of its total potential returns per unit of risk. Ssangyong Information Communication is currently generating about 0.11 per unit of volatility. If you would invest 62,500 in Ssangyong Information Communication on September 19, 2024 and sell it today you would earn a total of 3,000 from holding Ssangyong Information Communication or generate 4.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kukil Metal Co vs. Ssangyong Information Communic
Performance |
Timeline |
Kukil Metal |
Ssangyong Information |
Kukil Metal and Ssangyong Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kukil Metal and Ssangyong Information
The main advantage of trading using opposite Kukil Metal and Ssangyong Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kukil Metal position performs unexpectedly, Ssangyong Information 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 Ssangyong Information will offset losses from the drop in Ssangyong Information's long position.Kukil Metal vs. Keum Kang Steel | Kukil Metal vs. Samhyun Steel Co | Kukil Metal vs. Gyeongnam Steel Co | Kukil Metal vs. Wonil Special Steel |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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