Correlation Between SEOJEON ELECTRIC and Korea Air
Can any of the company-specific risk be diversified away by investing in both SEOJEON ELECTRIC and Korea Air 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 SEOJEON ELECTRIC and Korea Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEOJEON ELECTRIC MACHINERY and Korea Air Svc, you can compare the effects of market volatilities on SEOJEON ELECTRIC and Korea Air 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 SEOJEON ELECTRIC with a short position of Korea Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEOJEON ELECTRIC and Korea Air.
Diversification Opportunities for SEOJEON ELECTRIC and Korea Air
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between SEOJEON and Korea is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding SEOJEON ELECTRIC MACHINERY and Korea Air Svc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Air Svc and SEOJEON ELECTRIC 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 SEOJEON ELECTRIC MACHINERY are associated (or correlated) with Korea Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Air Svc has no effect on the direction of SEOJEON ELECTRIC i.e., SEOJEON ELECTRIC and Korea Air go up and down completely randomly.
Pair Corralation between SEOJEON ELECTRIC and Korea Air
Assuming the 90 days trading horizon SEOJEON ELECTRIC is expected to generate 10.21 times less return on investment than Korea Air. In addition to that, SEOJEON ELECTRIC is 1.64 times more volatile than Korea Air Svc. It trades about 0.0 of its total potential returns per unit of risk. Korea Air Svc is currently generating about 0.04 per unit of volatility. If you would invest 4,209,853 in Korea Air Svc on October 24, 2024 and sell it today you would earn a total of 1,400,147 from holding Korea Air Svc or generate 33.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SEOJEON ELECTRIC MACHINERY vs. Korea Air Svc
Performance |
Timeline |
SEOJEON ELECTRIC MAC |
Korea Air Svc |
SEOJEON ELECTRIC and Korea Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEOJEON ELECTRIC and Korea Air
The main advantage of trading using opposite SEOJEON ELECTRIC and Korea Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEOJEON ELECTRIC position performs unexpectedly, Korea Air 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 Korea Air will offset losses from the drop in Korea Air's long position.SEOJEON ELECTRIC vs. Samlip General Foods | SEOJEON ELECTRIC vs. Daiyang Metal Co | SEOJEON ELECTRIC vs. Seoul Food Industrial | SEOJEON ELECTRIC vs. Kukil Metal Co |
Korea Air vs. Fine Besteel Co | Korea Air vs. Hironic Co | Korea Air vs. Han Kook Steel | Korea Air vs. Lotte Rental 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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