Correlation Between Daelim Trading and Korean Reinsurance
Can any of the company-specific risk be diversified away by investing in both Daelim Trading and Korean Reinsurance 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 Daelim Trading and Korean Reinsurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daelim Trading Co and Korean Reinsurance Co, you can compare the effects of market volatilities on Daelim Trading and Korean Reinsurance 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 Daelim Trading with a short position of Korean Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daelim Trading and Korean Reinsurance.
Diversification Opportunities for Daelim Trading and Korean Reinsurance
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Daelim and Korean is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Daelim Trading Co and Korean Reinsurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korean Reinsurance and Daelim Trading 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 Daelim Trading Co are associated (or correlated) with Korean Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korean Reinsurance has no effect on the direction of Daelim Trading i.e., Daelim Trading and Korean Reinsurance go up and down completely randomly.
Pair Corralation between Daelim Trading and Korean Reinsurance
Assuming the 90 days trading horizon Daelim Trading Co is expected to under-perform the Korean Reinsurance. In addition to that, Daelim Trading is 1.41 times more volatile than Korean Reinsurance Co. It trades about -0.09 of its total potential returns per unit of risk. Korean Reinsurance Co is currently generating about 0.0 per unit of volatility. If you would invest 813,000 in Korean Reinsurance Co on December 1, 2024 and sell it today you would lose (9,000) from holding Korean Reinsurance Co or give up 1.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daelim Trading Co vs. Korean Reinsurance Co
Performance |
Timeline |
Daelim Trading |
Korean Reinsurance |
Daelim Trading and Korean Reinsurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daelim Trading and Korean Reinsurance
The main advantage of trading using opposite Daelim Trading and Korean Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daelim Trading position performs unexpectedly, Korean Reinsurance 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 Korean Reinsurance will offset losses from the drop in Korean Reinsurance's long position.Daelim Trading vs. AptaBio Therapeutics | Daelim Trading vs. Daewoo SBI SPAC | Daelim Trading vs. Dream Security co | Daelim Trading vs. Microfriend |
Korean Reinsurance vs. MNtech Co | Korean Reinsurance vs. SS TECH | Korean Reinsurance vs. Korea Steel Co | Korean Reinsurance vs. Hanyang Digitech Co |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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