Correlation Between DAEDUCK ELECTRONICS and Kukil Metal
Can any of the company-specific risk be diversified away by investing in both DAEDUCK ELECTRONICS and Kukil Metal 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 DAEDUCK ELECTRONICS and Kukil Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DAEDUCK ELECTRONICS CoLtd and Kukil Metal Co, you can compare the effects of market volatilities on DAEDUCK ELECTRONICS and Kukil Metal 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 DAEDUCK ELECTRONICS with a short position of Kukil Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAEDUCK ELECTRONICS and Kukil Metal.
Diversification Opportunities for DAEDUCK ELECTRONICS and Kukil Metal
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between DAEDUCK and Kukil is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding DAEDUCK ELECTRONICS CoLtd and Kukil Metal Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kukil Metal and DAEDUCK ELECTRONICS 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 DAEDUCK ELECTRONICS CoLtd are associated (or correlated) with Kukil Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kukil Metal has no effect on the direction of DAEDUCK ELECTRONICS i.e., DAEDUCK ELECTRONICS and Kukil Metal go up and down completely randomly.
Pair Corralation between DAEDUCK ELECTRONICS and Kukil Metal
Assuming the 90 days trading horizon DAEDUCK ELECTRONICS is expected to generate 1.04 times less return on investment than Kukil Metal. In addition to that, DAEDUCK ELECTRONICS is 1.39 times more volatile than Kukil Metal Co. It trades about 0.36 of its total potential returns per unit of risk. Kukil Metal Co is currently generating about 0.52 per unit of volatility. If you would invest 151,733 in Kukil Metal Co on October 10, 2024 and sell it today you would earn a total of 25,967 from holding Kukil Metal Co or generate 17.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.0% |
Values | Daily Returns |
DAEDUCK ELECTRONICS CoLtd vs. Kukil Metal Co
Performance |
Timeline |
DAEDUCK ELECTRONICS CoLtd |
Kukil Metal |
DAEDUCK ELECTRONICS and Kukil Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DAEDUCK ELECTRONICS and Kukil Metal
The main advantage of trading using opposite DAEDUCK ELECTRONICS and Kukil Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAEDUCK ELECTRONICS position performs unexpectedly, Kukil Metal 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 Kukil Metal will offset losses from the drop in Kukil Metal's long position.DAEDUCK ELECTRONICS vs. Daelim Trading Co | DAEDUCK ELECTRONICS vs. SCI Information Service | DAEDUCK ELECTRONICS vs. DB Financial Investment | DAEDUCK ELECTRONICS vs. Worldex Industry Trading |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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