Correlation Between SEOJEON ELECTRIC and Woori Financial
Can any of the company-specific risk be diversified away by investing in both SEOJEON ELECTRIC and Woori Financial 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 Woori Financial 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 Woori Financial Group, you can compare the effects of market volatilities on SEOJEON ELECTRIC and Woori Financial 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 Woori Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEOJEON ELECTRIC and Woori Financial.
Diversification Opportunities for SEOJEON ELECTRIC and Woori Financial
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SEOJEON and Woori is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding SEOJEON ELECTRIC MACHINERY and Woori Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Woori Financial Group 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 Woori Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Woori Financial Group has no effect on the direction of SEOJEON ELECTRIC i.e., SEOJEON ELECTRIC and Woori Financial go up and down completely randomly.
Pair Corralation between SEOJEON ELECTRIC and Woori Financial
Assuming the 90 days trading horizon SEOJEON ELECTRIC MACHINERY is expected to under-perform the Woori Financial. In addition to that, SEOJEON ELECTRIC is 2.47 times more volatile than Woori Financial Group. It trades about -0.01 of its total potential returns per unit of risk. Woori Financial Group is currently generating about 0.05 per unit of volatility. If you would invest 1,147,051 in Woori Financial Group on October 9, 2024 and sell it today you would earn a total of 395,949 from holding Woori Financial Group or generate 34.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SEOJEON ELECTRIC MACHINERY vs. Woori Financial Group
Performance |
Timeline |
SEOJEON ELECTRIC MAC |
Woori Financial Group |
SEOJEON ELECTRIC and Woori Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEOJEON ELECTRIC and Woori Financial
The main advantage of trading using opposite SEOJEON ELECTRIC and Woori Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEOJEON ELECTRIC position performs unexpectedly, Woori Financial 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 Woori Financial will offset losses from the drop in Woori Financial's long position.SEOJEON ELECTRIC vs. Top Material Co | SEOJEON ELECTRIC vs. Korean Reinsurance Co | SEOJEON ELECTRIC vs. Union Materials Corp | SEOJEON ELECTRIC vs. LAKE MATERIALS LTD |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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