Correlation Between Dongbu Insurance and KCC Engineering
Can any of the company-specific risk be diversified away by investing in both Dongbu Insurance and KCC Engineering 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 Dongbu Insurance and KCC Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbu Insurance Co and KCC Engineering Construction, you can compare the effects of market volatilities on Dongbu Insurance and KCC Engineering 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 Dongbu Insurance with a short position of KCC Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbu Insurance and KCC Engineering.
Diversification Opportunities for Dongbu Insurance and KCC Engineering
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dongbu and KCC is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Dongbu Insurance Co and KCC Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KCC Engineering Cons and Dongbu Insurance 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 Dongbu Insurance Co are associated (or correlated) with KCC Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KCC Engineering Cons has no effect on the direction of Dongbu Insurance i.e., Dongbu Insurance and KCC Engineering go up and down completely randomly.
Pair Corralation between Dongbu Insurance and KCC Engineering
Assuming the 90 days trading horizon Dongbu Insurance Co is expected to under-perform the KCC Engineering. In addition to that, Dongbu Insurance is 1.9 times more volatile than KCC Engineering Construction. It trades about -0.03 of its total potential returns per unit of risk. KCC Engineering Construction is currently generating about -0.04 per unit of volatility. If you would invest 419,017 in KCC Engineering Construction on October 1, 2024 and sell it today you would lose (11,017) from holding KCC Engineering Construction or give up 2.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbu Insurance Co vs. KCC Engineering Construction
Performance |
Timeline |
Dongbu Insurance |
KCC Engineering Cons |
Dongbu Insurance and KCC Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbu Insurance and KCC Engineering
The main advantage of trading using opposite Dongbu Insurance and KCC Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbu Insurance position performs unexpectedly, KCC Engineering 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 KCC Engineering will offset losses from the drop in KCC Engineering's long position.Dongbu Insurance vs. CG Hi Tech | Dongbu Insurance vs. Home Center Holdings | Dongbu Insurance vs. Daishin Information Communications | Dongbu Insurance vs. Nable Communications |
KCC Engineering vs. Busan Industrial Co | KCC Engineering vs. Busan Ind | KCC Engineering vs. Mirae Asset Daewoo | KCC Engineering vs. Shinhan WTI Futures |
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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