Correlation Between Samsung Publishing and Samyang Foods
Can any of the company-specific risk be diversified away by investing in both Samsung Publishing and Samyang Foods 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 Samyang Foods 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 Samyang Foods Co, you can compare the effects of market volatilities on Samsung Publishing and Samyang Foods 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 Samyang Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Publishing and Samyang Foods.
Diversification Opportunities for Samsung Publishing and Samyang Foods
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Samyang is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Publishing Co and Samyang Foods Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyang Foods 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 Samyang Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyang Foods has no effect on the direction of Samsung Publishing i.e., Samsung Publishing and Samyang Foods go up and down completely randomly.
Pair Corralation between Samsung Publishing and Samyang Foods
Assuming the 90 days trading horizon Samsung Publishing is expected to generate 10.71 times less return on investment than Samyang Foods. In addition to that, Samsung Publishing is 1.06 times more volatile than Samyang Foods Co. It trades about 0.02 of its total potential returns per unit of risk. Samyang Foods Co is currently generating about 0.18 per unit of volatility. If you would invest 54,300,000 in Samyang Foods Co on September 28, 2024 and sell it today you would earn a total of 22,200,000 from holding Samyang Foods Co or generate 40.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Samsung Publishing Co vs. Samyang Foods Co
Performance |
Timeline |
Samsung Publishing |
Samyang Foods |
Samsung Publishing and Samyang Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Publishing and Samyang Foods
The main advantage of trading using opposite Samsung Publishing and Samyang Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Publishing position performs unexpectedly, Samyang Foods 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 Samyang Foods will offset losses from the drop in Samyang Foods' 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 |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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