Correlation Between Seohee Construction and DB Insurance
Can any of the company-specific risk be diversified away by investing in both Seohee Construction 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 Seohee Construction and DB Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seohee Construction Co and DB Insurance Co, you can compare the effects of market volatilities on Seohee Construction 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 Seohee Construction with a short position of DB Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seohee Construction and DB Insurance.
Diversification Opportunities for Seohee Construction and DB Insurance
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Seohee and 005830 is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Seohee Construction 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 Seohee Construction 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 Seohee Construction 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 Seohee Construction i.e., Seohee Construction and DB Insurance go up and down completely randomly.
Pair Corralation between Seohee Construction and DB Insurance
Assuming the 90 days trading horizon Seohee Construction Co is expected to generate 0.9 times more return on investment than DB Insurance. However, Seohee Construction Co is 1.11 times less risky than DB Insurance. It trades about 0.06 of its potential returns per unit of risk. DB Insurance Co is currently generating about -0.06 per unit of risk. If you would invest 158,300 in Seohee Construction Co on October 11, 2024 and sell it today you would earn a total of 3,000 from holding Seohee Construction Co or generate 1.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Seohee Construction Co vs. DB Insurance Co
Performance |
Timeline |
Seohee Construction |
DB Insurance |
Seohee Construction and DB Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seohee Construction and DB Insurance
The main advantage of trading using opposite Seohee Construction and DB Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seohee Construction 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.Seohee Construction vs. KCC Engineering Construction | Seohee Construction vs. Samchuly Bicycle Co | Seohee Construction vs. SFA Engineering | Seohee Construction vs. SEOHAN Const EngcoLtd |
DB Insurance vs. SK Chemicals Co | DB Insurance vs. Eugene Technology CoLtd | DB Insurance vs. Neungyule Education | DB Insurance vs. Hannong Chemicals |
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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