Correlation Between Kukdo Chemical and Gyeongnam Steel
Can any of the company-specific risk be diversified away by investing in both Kukdo Chemical 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 Kukdo Chemical and Gyeongnam Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kukdo Chemical Co and Gyeongnam Steel Co, you can compare the effects of market volatilities on Kukdo Chemical 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 Kukdo Chemical with a short position of Gyeongnam Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kukdo Chemical and Gyeongnam Steel.
Diversification Opportunities for Kukdo Chemical and Gyeongnam Steel
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kukdo and Gyeongnam is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Kukdo Chemical Co and Gyeongnam Steel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gyeongnam Steel and Kukdo Chemical 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 Kukdo Chemical Co 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 Kukdo Chemical i.e., Kukdo Chemical and Gyeongnam Steel go up and down completely randomly.
Pair Corralation between Kukdo Chemical and Gyeongnam Steel
Assuming the 90 days trading horizon Kukdo Chemical Co is expected to under-perform the Gyeongnam Steel. But the stock apears to be less risky and, when comparing its historical volatility, Kukdo Chemical Co is 1.11 times less risky than Gyeongnam Steel. The stock trades about -0.34 of its potential returns per unit of risk. The Gyeongnam Steel Co is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 286,000 in Gyeongnam Steel Co on September 1, 2024 and sell it today you would earn a total of 3,500 from holding Gyeongnam Steel Co or generate 1.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kukdo Chemical Co vs. Gyeongnam Steel Co
Performance |
| Timeline |
| Kukdo Chemical |
| Gyeongnam Steel |
Kukdo Chemical and Gyeongnam Steel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kukdo Chemical and Gyeongnam Steel
The main advantage of trading using opposite Kukdo Chemical and Gyeongnam Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kukdo Chemical 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.| Kukdo Chemical vs. Next Entertainment World | Kukdo Chemical vs. SK Chemicals Co | Kukdo Chemical vs. T3 Entertainment Co | Kukdo Chemical vs. YG Entertainment |
| Gyeongnam Steel vs. Keum Kang Steel | Gyeongnam Steel vs. Tplex Co | Gyeongnam Steel vs. Jeil Steel Mfg | Gyeongnam Steel vs. Daedong Steel Co |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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