Correlation Between Samyang Foods and Dongbang Transport
Can any of the company-specific risk be diversified away by investing in both Samyang Foods and Dongbang Transport 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 Dongbang Transport 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 Dongbang Transport Logistics, you can compare the effects of market volatilities on Samyang Foods and Dongbang Transport 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 Dongbang Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samyang Foods and Dongbang Transport.
Diversification Opportunities for Samyang Foods and Dongbang Transport
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Samyang and Dongbang is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Samyang Foods Co and Dongbang Transport Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbang Transport 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 Dongbang Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbang Transport has no effect on the direction of Samyang Foods i.e., Samyang Foods and Dongbang Transport go up and down completely randomly.
Pair Corralation between Samyang Foods and Dongbang Transport
Assuming the 90 days trading horizon Samyang Foods Co is expected to generate 1.5 times more return on investment than Dongbang Transport. However, Samyang Foods is 1.5 times more volatile than Dongbang Transport Logistics. It trades about 0.1 of its potential returns per unit of risk. Dongbang Transport Logistics is currently generating about 0.04 per unit of risk. If you would invest 75,744,000 in Samyang Foods Co on December 27, 2024 and sell it today you would earn a total of 11,456,000 from holding Samyang Foods Co or generate 15.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samyang Foods Co vs. Dongbang Transport Logistics
Performance |
Timeline |
Samyang Foods |
Dongbang Transport |
Samyang Foods and Dongbang Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samyang Foods and Dongbang Transport
The main advantage of trading using opposite Samyang Foods and Dongbang Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samyang Foods position performs unexpectedly, Dongbang Transport 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 Dongbang Transport will offset losses from the drop in Dongbang Transport's 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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