Correlation Between Samsung Publishing and CKH Food
Can any of the company-specific risk be diversified away by investing in both Samsung Publishing and CKH Food 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 Samsung Publishing and CKH Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Publishing Co and CKH Food Health, you can compare the effects of market volatilities on Samsung Publishing and CKH Food 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 Samsung Publishing with a short position of CKH Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Publishing and CKH Food.
Diversification Opportunities for Samsung Publishing and CKH Food
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Samsung and CKH is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Publishing Co and CKH Food Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CKH Food Health and Samsung Publishing 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 Samsung Publishing Co are associated (or correlated) with CKH Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CKH Food Health has no effect on the direction of Samsung Publishing i.e., Samsung Publishing and CKH Food go up and down completely randomly.
Pair Corralation between Samsung Publishing and CKH Food
Assuming the 90 days trading horizon Samsung Publishing Co is expected to generate 1.06 times more return on investment than CKH Food. However, Samsung Publishing is 1.06 times more volatile than CKH Food Health. It trades about -0.01 of its potential returns per unit of risk. CKH Food Health is currently generating about -0.06 per unit of risk. If you would invest 2,455,686 in Samsung Publishing Co on September 28, 2024 and sell it today you would lose (949,686) from holding Samsung Publishing Co or give up 38.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Publishing Co vs. CKH Food Health
Performance |
Timeline |
Samsung Publishing |
CKH Food Health |
Samsung Publishing and CKH Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Publishing and CKH Food
The main advantage of trading using opposite Samsung Publishing and CKH Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Publishing position performs unexpectedly, CKH Food 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 CKH Food will offset losses from the drop in CKH Food's long position.Samsung Publishing vs. Korean Reinsurance Co | Samsung Publishing vs. KB Financial Group | Samsung Publishing vs. DB Insurance Co | Samsung Publishing vs. Lotte Non Life Insurance |
CKH Food vs. Woori Financial Group | CKH Food vs. Jb Financial | CKH Food vs. Nh Investment And | CKH Food vs. Kumho Petro Chemical |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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