Correlation Between Ssangyong Materials and Kumho Petro
Can any of the company-specific risk be diversified away by investing in both Ssangyong Materials and Kumho Petro 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 Kumho Petro 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 Kumho Petro Chemical, you can compare the effects of market volatilities on Ssangyong Materials and Kumho Petro 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 Kumho Petro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Materials and Kumho Petro.
Diversification Opportunities for Ssangyong Materials and Kumho Petro
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ssangyong and Kumho is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Materials Corp and Kumho Petro Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kumho Petro Chemical 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 Kumho Petro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kumho Petro Chemical has no effect on the direction of Ssangyong Materials i.e., Ssangyong Materials and Kumho Petro go up and down completely randomly.
Pair Corralation between Ssangyong Materials and Kumho Petro
Assuming the 90 days trading horizon Ssangyong Materials Corp is expected to generate 1.32 times more return on investment than Kumho Petro. However, Ssangyong Materials is 1.32 times more volatile than Kumho Petro Chemical. It trades about 0.23 of its potential returns per unit of risk. Kumho Petro Chemical is currently generating about -0.11 per unit of risk. If you would invest 206,500 in Ssangyong Materials Corp on October 8, 2024 and sell it today you would earn a total of 21,000 from holding Ssangyong Materials Corp or generate 10.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Materials Corp vs. Kumho Petro Chemical
Performance |
Timeline |
Ssangyong Materials Corp |
Kumho Petro Chemical |
Ssangyong Materials and Kumho Petro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Materials and Kumho Petro
The main advantage of trading using opposite Ssangyong Materials and Kumho Petro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Materials position performs unexpectedly, Kumho Petro 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 Kumho Petro will offset losses from the drop in Kumho Petro's long position.Ssangyong Materials vs. E Investment Development | Ssangyong Materials vs. LG Display Co | Ssangyong Materials vs. Korea Investment Holdings | Ssangyong Materials vs. Korean Drug Co |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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