Correlation Between SK Chemicals and Jeju Semiconductor
Can any of the company-specific risk be diversified away by investing in both SK Chemicals and Jeju Semiconductor 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 SK Chemicals and Jeju Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SK Chemicals Co and Jeju Semiconductor Corp, you can compare the effects of market volatilities on SK Chemicals and Jeju Semiconductor 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 SK Chemicals with a short position of Jeju Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Chemicals and Jeju Semiconductor.
Diversification Opportunities for SK Chemicals and Jeju Semiconductor
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between 28513K and Jeju is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding SK Chemicals Co and Jeju Semiconductor Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jeju Semiconductor Corp and SK Chemicals 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 SK Chemicals Co are associated (or correlated) with Jeju Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jeju Semiconductor Corp has no effect on the direction of SK Chemicals i.e., SK Chemicals and Jeju Semiconductor go up and down completely randomly.
Pair Corralation between SK Chemicals and Jeju Semiconductor
Assuming the 90 days trading horizon SK Chemicals Co is expected to generate 0.48 times more return on investment than Jeju Semiconductor. However, SK Chemicals Co is 2.06 times less risky than Jeju Semiconductor. It trades about -0.12 of its potential returns per unit of risk. Jeju Semiconductor Corp is currently generating about -0.16 per unit of risk. If you would invest 2,305,000 in SK Chemicals Co on September 22, 2024 and sell it today you would lose (280,000) from holding SK Chemicals Co or give up 12.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SK Chemicals Co vs. Jeju Semiconductor Corp
Performance |
Timeline |
SK Chemicals |
Jeju Semiconductor Corp |
SK Chemicals and Jeju Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK Chemicals and Jeju Semiconductor
The main advantage of trading using opposite SK Chemicals and Jeju Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK Chemicals position performs unexpectedly, Jeju Semiconductor 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 Jeju Semiconductor will offset losses from the drop in Jeju Semiconductor's long position.SK Chemicals vs. Nable Communications | SK Chemicals vs. Daishin Information Communications | SK Chemicals vs. Innowireless Co | SK Chemicals vs. Mobile Appliance |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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