Correlation Between Keum Kang and Gyeongnam Steel
Can any of the company-specific risk be diversified away by investing in both Keum Kang and Gyeongnam Steel 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 Keum Kang and Gyeongnam Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Keum Kang Steel and Gyeongnam Steel Co, you can compare the effects of market volatilities on Keum Kang and Gyeongnam Steel 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 Keum Kang with a short position of Gyeongnam Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keum Kang and Gyeongnam Steel.
Diversification Opportunities for Keum Kang and Gyeongnam Steel
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Keum and Gyeongnam is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Keum Kang Steel and Gyeongnam Steel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gyeongnam Steel and Keum Kang 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 Keum Kang Steel are associated (or correlated) with Gyeongnam Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gyeongnam Steel has no effect on the direction of Keum Kang i.e., Keum Kang and Gyeongnam Steel go up and down completely randomly.
Pair Corralation between Keum Kang and Gyeongnam Steel
Assuming the 90 days trading horizon Keum Kang Steel is expected to under-perform the Gyeongnam Steel. In addition to that, Keum Kang is 1.52 times more volatile than Gyeongnam Steel Co. It trades about -0.12 of its total potential returns per unit of risk. Gyeongnam Steel Co is currently generating about 0.03 per unit of volatility. If you would invest 284,500 in Gyeongnam Steel Co on September 2, 2024 and sell it today you would earn a total of 5,000 from holding Gyeongnam Steel Co or generate 1.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Keum Kang Steel vs. Gyeongnam Steel Co
Performance |
Timeline |
Keum Kang Steel |
Gyeongnam Steel |
Keum Kang and Gyeongnam Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Keum Kang and Gyeongnam Steel
The main advantage of trading using opposite Keum Kang and Gyeongnam Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keum Kang position performs unexpectedly, Gyeongnam Steel 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 Gyeongnam Steel will offset losses from the drop in Gyeongnam Steel's long position.Keum Kang vs. LG Chemicals | Keum Kang vs. POSCO Holdings | Keum Kang vs. Hanwha Solutions | Keum Kang vs. Hyundai Steel |
Gyeongnam Steel vs. Keum Kang Steel | Gyeongnam Steel vs. Tplex Co | Gyeongnam Steel vs. Jeil Steel Mfg | Gyeongnam Steel vs. Wonil Special Steel |
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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