Correlation Between SK Chemicals and Lotte Fine
Can any of the company-specific risk be diversified away by investing in both SK Chemicals and Lotte Fine 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 Lotte Fine 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 Lotte Fine Chemical, you can compare the effects of market volatilities on SK Chemicals and Lotte Fine 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 Lotte Fine. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Chemicals and Lotte Fine.
Diversification Opportunities for SK Chemicals and Lotte Fine
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between 285130 and Lotte is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding SK Chemicals Co and Lotte Fine Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Fine Chemical 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 Lotte Fine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Fine Chemical has no effect on the direction of SK Chemicals i.e., SK Chemicals and Lotte Fine go up and down completely randomly.
Pair Corralation between SK Chemicals and Lotte Fine
Assuming the 90 days trading horizon SK Chemicals is expected to generate 1.22 times less return on investment than Lotte Fine. In addition to that, SK Chemicals is 1.12 times more volatile than Lotte Fine Chemical. It trades about 0.25 of its total potential returns per unit of risk. Lotte Fine Chemical is currently generating about 0.34 per unit of volatility. If you would invest 3,420,000 in Lotte Fine Chemical on October 10, 2024 and sell it today you would earn a total of 610,000 from holding Lotte Fine Chemical or generate 17.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SK Chemicals Co vs. Lotte Fine Chemical
Performance |
Timeline |
SK Chemicals |
Lotte Fine Chemical |
SK Chemicals and Lotte Fine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK Chemicals and Lotte Fine
The main advantage of trading using opposite SK Chemicals and Lotte Fine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK Chemicals position performs unexpectedly, Lotte Fine 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 Lotte Fine will offset losses from the drop in Lotte Fine's long position.SK Chemicals vs. LG Chemicals | SK Chemicals vs. POSCO Holdings | SK Chemicals vs. Hanwha Solutions | SK Chemicals vs. Lotte Chemical Corp |
Lotte Fine vs. LG Chemicals | Lotte Fine vs. POSCO Holdings | Lotte Fine vs. Hanwha Solutions | Lotte Fine vs. Lotte Chemical 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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