Correlation Between Seoyon Topmetal and DB Insurance
Can any of the company-specific risk be diversified away by investing in both Seoyon Topmetal and DB Insurance 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 Seoyon Topmetal and DB Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoyon Topmetal Co and DB Insurance Co, you can compare the effects of market volatilities on Seoyon Topmetal and DB Insurance 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 Seoyon Topmetal with a short position of DB Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoyon Topmetal and DB Insurance.
Diversification Opportunities for Seoyon Topmetal and DB Insurance
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Seoyon and 005830 is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Seoyon Topmetal Co and DB Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Insurance and Seoyon Topmetal 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 Seoyon Topmetal Co are associated (or correlated) with DB Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Insurance has no effect on the direction of Seoyon Topmetal i.e., Seoyon Topmetal and DB Insurance go up and down completely randomly.
Pair Corralation between Seoyon Topmetal and DB Insurance
Assuming the 90 days trading horizon Seoyon Topmetal Co is expected to generate 0.73 times more return on investment than DB Insurance. However, Seoyon Topmetal Co is 1.37 times less risky than DB Insurance. It trades about -0.07 of its potential returns per unit of risk. DB Insurance Co is currently generating about -0.05 per unit of risk. If you would invest 398,500 in Seoyon Topmetal Co on September 3, 2024 and sell it today you would lose (32,500) from holding Seoyon Topmetal Co or give up 8.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Seoyon Topmetal Co vs. DB Insurance Co
Performance |
Timeline |
Seoyon Topmetal |
DB Insurance |
Seoyon Topmetal and DB Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seoyon Topmetal and DB Insurance
The main advantage of trading using opposite Seoyon Topmetal and DB Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoyon Topmetal position performs unexpectedly, DB Insurance 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 DB Insurance will offset losses from the drop in DB Insurance's long position.Seoyon Topmetal vs. Korea Real Estate | Seoyon Topmetal vs. Busan Industrial Co | Seoyon Topmetal vs. UNISEM Co | Seoyon Topmetal vs. RPBio Inc |
DB Insurance vs. Playgram Co | DB Insurance vs. National Plastic Co | DB Insurance vs. Grand Korea Leisure | DB Insurance 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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