Correlation Between KB Financial and DAEDUCK ELECTRONICS
Can any of the company-specific risk be diversified away by investing in both KB Financial and DAEDUCK ELECTRONICS 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 KB Financial and DAEDUCK ELECTRONICS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KB Financial Group and DAEDUCK ELECTRONICS CoLtd, you can compare the effects of market volatilities on KB Financial and DAEDUCK ELECTRONICS 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 KB Financial with a short position of DAEDUCK ELECTRONICS. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and DAEDUCK ELECTRONICS.
Diversification Opportunities for KB Financial and DAEDUCK ELECTRONICS
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 105560 and DAEDUCK is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and DAEDUCK ELECTRONICS CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAEDUCK ELECTRONICS CoLtd and KB Financial 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 KB Financial Group are associated (or correlated) with DAEDUCK ELECTRONICS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAEDUCK ELECTRONICS CoLtd has no effect on the direction of KB Financial i.e., KB Financial and DAEDUCK ELECTRONICS go up and down completely randomly.
Pair Corralation between KB Financial and DAEDUCK ELECTRONICS
Assuming the 90 days trading horizon KB Financial Group is expected to under-perform the DAEDUCK ELECTRONICS. In addition to that, KB Financial is 1.11 times more volatile than DAEDUCK ELECTRONICS CoLtd. It trades about -0.07 of its total potential returns per unit of risk. DAEDUCK ELECTRONICS CoLtd is currently generating about 0.01 per unit of volatility. If you would invest 829,000 in DAEDUCK ELECTRONICS CoLtd on October 9, 2024 and sell it today you would lose (4,000) from holding DAEDUCK ELECTRONICS CoLtd or give up 0.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. DAEDUCK ELECTRONICS CoLtd
Performance |
Timeline |
KB Financial Group |
DAEDUCK ELECTRONICS CoLtd |
KB Financial and DAEDUCK ELECTRONICS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and DAEDUCK ELECTRONICS
The main advantage of trading using opposite KB Financial and DAEDUCK ELECTRONICS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, DAEDUCK ELECTRONICS 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 DAEDUCK ELECTRONICS will offset losses from the drop in DAEDUCK ELECTRONICS's long position.KB Financial vs. PH Tech Co | KB Financial vs. Yura Tech Co | KB Financial vs. Jb Financial | KB Financial vs. BGF Retail Co |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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