Correlation Between DB Insurance and CJ Cheiljedang
Can any of the company-specific risk be diversified away by investing in both DB Insurance and CJ Cheiljedang 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 DB Insurance and CJ Cheiljedang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Insurance Co and CJ Cheiljedang, you can compare the effects of market volatilities on DB Insurance and CJ Cheiljedang 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 DB Insurance with a short position of CJ Cheiljedang. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Insurance and CJ Cheiljedang.
Diversification Opportunities for DB Insurance and CJ Cheiljedang
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 005830 and 097950 is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding DB Insurance Co and CJ Cheiljedang in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CJ Cheiljedang and DB 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 DB Insurance Co are associated (or correlated) with CJ Cheiljedang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CJ Cheiljedang has no effect on the direction of DB Insurance i.e., DB Insurance and CJ Cheiljedang go up and down completely randomly.
Pair Corralation between DB Insurance and CJ Cheiljedang
Assuming the 90 days trading horizon DB Insurance Co is expected to under-perform the CJ Cheiljedang. In addition to that, DB Insurance is 1.05 times more volatile than CJ Cheiljedang. It trades about -0.05 of its total potential returns per unit of risk. CJ Cheiljedang is currently generating about 0.03 per unit of volatility. If you would invest 26,129,400 in CJ Cheiljedang on December 24, 2024 and sell it today you would earn a total of 470,600 from holding CJ Cheiljedang or generate 1.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DB Insurance Co vs. CJ Cheiljedang
Performance |
Timeline |
DB Insurance |
CJ Cheiljedang |
DB Insurance and CJ Cheiljedang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Insurance and CJ Cheiljedang
The main advantage of trading using opposite DB Insurance and CJ Cheiljedang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Insurance position performs unexpectedly, CJ Cheiljedang 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 CJ Cheiljedang will offset losses from the drop in CJ Cheiljedang's long position.DB Insurance vs. Hyunwoo Industrial Co | DB Insurance vs. Camus Engineering Construction | DB Insurance vs. Daewoo Engineering Construction | DB Insurance vs. Haesung Industrial Co |
CJ Cheiljedang vs. Total Soft Bank | CJ Cheiljedang vs. Korean Reinsurance Co | CJ Cheiljedang vs. Korea Alcohol Industrial | CJ Cheiljedang vs. Daedong Metals 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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