Correlation Between Seoul Food and Dongil Metal
Can any of the company-specific risk be diversified away by investing in both Seoul Food and Dongil 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 Seoul Food and Dongil Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoul Food Industrial and Dongil Metal Co, you can compare the effects of market volatilities on Seoul Food and Dongil 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 Seoul Food with a short position of Dongil Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoul Food and Dongil Metal.
Diversification Opportunities for Seoul Food and Dongil Metal
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Seoul and Dongil is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Seoul Food Industrial and Dongil Metal Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongil Metal and Seoul Food 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 Seoul Food Industrial are associated (or correlated) with Dongil Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongil Metal has no effect on the direction of Seoul Food i.e., Seoul Food and Dongil Metal go up and down completely randomly.
Pair Corralation between Seoul Food and Dongil Metal
Assuming the 90 days trading horizon Seoul Food Industrial is expected to under-perform the Dongil Metal. But the stock apears to be less risky and, when comparing its historical volatility, Seoul Food Industrial is 2.56 times less risky than Dongil Metal. The stock trades about -0.14 of its potential returns per unit of risk. The Dongil Metal Co is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 768,701 in Dongil Metal Co on December 24, 2024 and sell it today you would earn a total of 55,299 from holding Dongil Metal Co or generate 7.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Seoul Food Industrial vs. Dongil Metal Co
Performance |
Timeline |
Seoul Food Industrial |
Dongil Metal |
Seoul Food and Dongil Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seoul Food and Dongil Metal
The main advantage of trading using opposite Seoul Food and Dongil Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoul Food position performs unexpectedly, Dongil 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 Dongil Metal will offset losses from the drop in Dongil Metal's long position.Seoul Food vs. Samsung Life Insurance | Seoul Food vs. Netmarble Games Corp | Seoul Food vs. Eugene Technology CoLtd | Seoul Food vs. Guyoung Technology Co |
Dongil Metal vs. KMH Hitech Co | Dongil Metal vs. Air Busan Co | Dongil Metal vs. Daeduck Electronics Co | Dongil Metal vs. Wave Electronics Co |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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