Correlation Between Wonil Special and Seoul Food
Can any of the company-specific risk be diversified away by investing in both Wonil Special and Seoul 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 Wonil Special and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wonil Special Steel and Seoul Food Industrial, you can compare the effects of market volatilities on Wonil Special and Seoul 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 Wonil Special with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wonil Special and Seoul Food.
Diversification Opportunities for Wonil Special and Seoul Food
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Wonil and Seoul is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Wonil Special Steel and Seoul Food Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Food Industrial and Wonil Special 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 Wonil Special Steel are associated (or correlated) with Seoul Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Food Industrial has no effect on the direction of Wonil Special i.e., Wonil Special and Seoul Food go up and down completely randomly.
Pair Corralation between Wonil Special and Seoul Food
Assuming the 90 days trading horizon Wonil Special Steel is expected to generate 0.89 times more return on investment than Seoul Food. However, Wonil Special Steel is 1.12 times less risky than Seoul Food. It trades about 0.05 of its potential returns per unit of risk. Seoul Food Industrial is currently generating about -0.14 per unit of risk. If you would invest 703,240 in Wonil Special Steel on December 24, 2024 and sell it today you would earn a total of 13,760 from holding Wonil Special Steel or generate 1.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wonil Special Steel vs. Seoul Food Industrial
Performance |
Timeline |
Wonil Special Steel |
Seoul Food Industrial |
Wonil Special and Seoul Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wonil Special and Seoul Food
The main advantage of trading using opposite Wonil Special and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wonil Special position performs unexpectedly, Seoul 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 Seoul Food will offset losses from the drop in Seoul Food's long position.Wonil Special vs. Kbi Metal Co | Wonil Special vs. Duksan Hi Metal | Wonil Special vs. Industrial Bank | Wonil Special vs. Jeju Bank |
Seoul Food vs. Samsung Life Insurance | Seoul Food vs. Netmarble Games Corp | Seoul Food vs. Eugene Technology CoLtd | Seoul Food vs. Guyoung Technology 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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