Correlation Between Seoul Electronics and SK Chemicals
Can any of the company-specific risk be diversified away by investing in both Seoul Electronics and SK Chemicals 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 Electronics and SK Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoul Electronics Telecom and SK Chemicals Co, you can compare the effects of market volatilities on Seoul Electronics and SK Chemicals 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 Electronics with a short position of SK Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoul Electronics and SK Chemicals.
Diversification Opportunities for Seoul Electronics and SK Chemicals
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Seoul and 285130 is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Seoul Electronics Telecom and SK Chemicals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Chemicals and Seoul Electronics 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 Electronics Telecom are associated (or correlated) with SK Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Chemicals has no effect on the direction of Seoul Electronics i.e., Seoul Electronics and SK Chemicals go up and down completely randomly.
Pair Corralation between Seoul Electronics and SK Chemicals
Assuming the 90 days trading horizon Seoul Electronics Telecom is expected to under-perform the SK Chemicals. But the stock apears to be less risky and, when comparing its historical volatility, Seoul Electronics Telecom is 1.29 times less risky than SK Chemicals. The stock trades about -0.23 of its potential returns per unit of risk. The SK Chemicals Co is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 4,900,000 in SK Chemicals Co on September 13, 2024 and sell it today you would lose (310,000) from holding SK Chemicals Co or give up 6.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Seoul Electronics Telecom vs. SK Chemicals Co
Performance |
Timeline |
Seoul Electronics Telecom |
SK Chemicals |
Seoul Electronics and SK Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seoul Electronics and SK Chemicals
The main advantage of trading using opposite Seoul Electronics and SK Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoul Electronics position performs unexpectedly, SK Chemicals 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 SK Chemicals will offset losses from the drop in SK Chemicals' long position.Seoul Electronics vs. Hanmi Semiconductor Co | Seoul Electronics vs. Samyang Foods Co | Seoul Electronics vs. Mirai Semiconductors Co | Seoul Electronics vs. Organic Special Pet |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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