Correlation Between Samyang Foods and Ssangyong Materials
Can any of the company-specific risk be diversified away by investing in both Samyang Foods and Ssangyong Materials 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 Samyang Foods and Ssangyong Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samyang Foods Co and Ssangyong Materials Corp, you can compare the effects of market volatilities on Samyang Foods and Ssangyong Materials 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 Samyang Foods with a short position of Ssangyong Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samyang Foods and Ssangyong Materials.
Diversification Opportunities for Samyang Foods and Ssangyong Materials
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samyang and Ssangyong is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Samyang Foods Co and Ssangyong Materials Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ssangyong Materials Corp and Samyang Foods 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 Samyang Foods Co are associated (or correlated) with Ssangyong Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ssangyong Materials Corp has no effect on the direction of Samyang Foods i.e., Samyang Foods and Ssangyong Materials go up and down completely randomly.
Pair Corralation between Samyang Foods and Ssangyong Materials
Assuming the 90 days trading horizon Samyang Foods Co is expected to generate 1.14 times more return on investment than Ssangyong Materials. However, Samyang Foods is 1.14 times more volatile than Ssangyong Materials Corp. It trades about 0.09 of its potential returns per unit of risk. Ssangyong Materials Corp is currently generating about -0.06 per unit of risk. If you would invest 76,342,800 in Samyang Foods Co on December 26, 2024 and sell it today you would earn a total of 10,857,200 from holding Samyang Foods Co or generate 14.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samyang Foods Co vs. Ssangyong Materials Corp
Performance |
Timeline |
Samyang Foods |
Ssangyong Materials Corp |
Samyang Foods and Ssangyong Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samyang Foods and Ssangyong Materials
The main advantage of trading using opposite Samyang Foods and Ssangyong Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samyang Foods position performs unexpectedly, Ssangyong Materials 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 Ssangyong Materials will offset losses from the drop in Ssangyong Materials' long position.Samyang Foods vs. Automobile Pc | Samyang Foods vs. Next Entertainment World | Samyang Foods vs. JYP Entertainment Corp | Samyang Foods vs. Barunson Entertainment Arts |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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