Correlation Between Sung Bo and SK Chemicals
Can any of the company-specific risk be diversified away by investing in both Sung Bo 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 Sung Bo and SK Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sung Bo Chemicals and SK Chemicals Co, you can compare the effects of market volatilities on Sung Bo 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 Sung Bo with a short position of SK Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sung Bo and SK Chemicals.
Diversification Opportunities for Sung Bo and SK Chemicals
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sung and 28513K is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Sung Bo Chemicals and SK Chemicals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Chemicals and Sung Bo 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 Sung Bo Chemicals 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 Sung Bo i.e., Sung Bo and SK Chemicals go up and down completely randomly.
Pair Corralation between Sung Bo and SK Chemicals
Assuming the 90 days trading horizon Sung Bo is expected to generate 1.13 times less return on investment than SK Chemicals. But when comparing it to its historical volatility, Sung Bo Chemicals is 2.53 times less risky than SK Chemicals. It trades about 0.28 of its potential returns per unit of risk. SK Chemicals Co is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,888,000 in SK Chemicals Co on October 11, 2024 and sell it today you would earn a total of 112,000 from holding SK Chemicals Co or generate 5.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sung Bo Chemicals vs. SK Chemicals Co
Performance |
Timeline |
Sung Bo Chemicals |
SK Chemicals |
Sung Bo and SK Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sung Bo and SK Chemicals
The main advantage of trading using opposite Sung Bo and SK Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sung Bo 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.Sung Bo vs. Coloray International Investment | Sung Bo vs. Golden Bridge Investment | Sung Bo vs. Automobile Pc | Sung Bo vs. Korea Investment Holdings |
SK Chemicals vs. Sung Bo Chemicals | SK Chemicals vs. Jeju Beer Co | SK Chemicals vs. Hankook Furniture Co | SK Chemicals vs. Asiana Airlines |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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