Correlation Between Gyeongnam Steel and Seoul Electronics
Can any of the company-specific risk be diversified away by investing in both Gyeongnam Steel and Seoul Electronics 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 Gyeongnam Steel and Seoul Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gyeongnam Steel Co and Seoul Electronics Telecom, you can compare the effects of market volatilities on Gyeongnam Steel and Seoul Electronics 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 Gyeongnam Steel with a short position of Seoul Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gyeongnam Steel and Seoul Electronics.
Diversification Opportunities for Gyeongnam Steel and Seoul Electronics
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Gyeongnam and Seoul is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Gyeongnam Steel Co and Seoul Electronics Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Electronics Telecom and Gyeongnam Steel 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 Gyeongnam Steel Co are associated (or correlated) with Seoul Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Electronics Telecom has no effect on the direction of Gyeongnam Steel i.e., Gyeongnam Steel and Seoul Electronics go up and down completely randomly.
Pair Corralation between Gyeongnam Steel and Seoul Electronics
Assuming the 90 days trading horizon Gyeongnam Steel Co is expected to generate 0.96 times more return on investment than Seoul Electronics. However, Gyeongnam Steel Co is 1.04 times less risky than Seoul Electronics. It trades about 0.08 of its potential returns per unit of risk. Seoul Electronics Telecom is currently generating about -0.06 per unit of risk. If you would invest 297,043 in Gyeongnam Steel Co on September 27, 2024 and sell it today you would earn a total of 216,957 from holding Gyeongnam Steel Co or generate 73.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gyeongnam Steel Co vs. Seoul Electronics Telecom
Performance |
Timeline |
Gyeongnam Steel |
Seoul Electronics Telecom |
Gyeongnam Steel and Seoul Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gyeongnam Steel and Seoul Electronics
The main advantage of trading using opposite Gyeongnam Steel and Seoul Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gyeongnam Steel position performs unexpectedly, Seoul Electronics 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 Seoul Electronics will offset losses from the drop in Seoul Electronics' long position.Gyeongnam Steel vs. Keum Kang Steel | Gyeongnam Steel vs. Tplex Co | Gyeongnam Steel vs. PJ Metal Co | Gyeongnam Steel vs. Samhyun Steel Co |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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