Correlation Between SK Chemicals and Samsung Biologics
Can any of the company-specific risk be diversified away by investing in both SK Chemicals and Samsung Biologics 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 Samsung Biologics 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 Samsung Biologics Co, you can compare the effects of market volatilities on SK Chemicals and Samsung Biologics 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 Samsung Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Chemicals and Samsung Biologics.
Diversification Opportunities for SK Chemicals and Samsung Biologics
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 285130 and Samsung is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding SK Chemicals Co and Samsung Biologics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Biologics 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 Samsung Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Biologics has no effect on the direction of SK Chemicals i.e., SK Chemicals and Samsung Biologics go up and down completely randomly.
Pair Corralation between SK Chemicals and Samsung Biologics
Assuming the 90 days trading horizon SK Chemicals Co is expected to under-perform the Samsung Biologics. In addition to that, SK Chemicals is 1.5 times more volatile than Samsung Biologics Co. It trades about -0.12 of its total potential returns per unit of risk. Samsung Biologics Co is currently generating about -0.03 per unit of volatility. If you would invest 98,000,000 in Samsung Biologics Co on August 30, 2024 and sell it today you would lose (2,700,000) from holding Samsung Biologics Co or give up 2.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SK Chemicals Co vs. Samsung Biologics Co
Performance |
Timeline |
SK Chemicals |
Samsung Biologics |
SK Chemicals and Samsung Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK Chemicals and Samsung Biologics
The main advantage of trading using opposite SK Chemicals and Samsung Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK Chemicals position performs unexpectedly, Samsung Biologics 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 Samsung Biologics will offset losses from the drop in Samsung Biologics' long position.SK Chemicals vs. Hanwha Solutions | SK Chemicals vs. Lotte Chemical Corp | SK Chemicals vs. Hyundai Steel | SK Chemicals vs. Ecopro Co |
Samsung Biologics vs. SK Chemicals Co | Samsung Biologics vs. Hyundai Engineering Plastics | Samsung Biologics vs. Automobile Pc | Samsung Biologics vs. Daou Data Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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