Correlation Between Gyeongnam Steel and Bosung Power
Can any of the company-specific risk be diversified away by investing in both Gyeongnam Steel and Bosung Power 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 Bosung Power 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 Bosung Power Technology, you can compare the effects of market volatilities on Gyeongnam Steel and Bosung Power 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 Bosung Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gyeongnam Steel and Bosung Power.
Diversification Opportunities for Gyeongnam Steel and Bosung Power
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Gyeongnam and Bosung is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Gyeongnam Steel Co and Bosung Power Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bosung Power Technology 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 Bosung Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bosung Power Technology has no effect on the direction of Gyeongnam Steel i.e., Gyeongnam Steel and Bosung Power go up and down completely randomly.
Pair Corralation between Gyeongnam Steel and Bosung Power
Assuming the 90 days trading horizon Gyeongnam Steel Co is expected to generate 3.68 times more return on investment than Bosung Power. However, Gyeongnam Steel is 3.68 times more volatile than Bosung Power Technology. It trades about 0.23 of its potential returns per unit of risk. Bosung Power Technology is currently generating about 0.2 per unit of risk. If you would invest 457,251 in Gyeongnam Steel Co on October 12, 2024 and sell it today you would earn a total of 142,749 from holding Gyeongnam Steel Co or generate 31.22% 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. Bosung Power Technology
Performance |
Timeline |
Gyeongnam Steel |
Bosung Power Technology |
Gyeongnam Steel and Bosung Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gyeongnam Steel and Bosung Power
The main advantage of trading using opposite Gyeongnam Steel and Bosung Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gyeongnam Steel position performs unexpectedly, Bosung Power 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 Bosung Power will offset losses from the drop in Bosung Power's long position.Gyeongnam Steel vs. PJ Metal Co | Gyeongnam Steel vs. Daiyang Metal Co | Gyeongnam Steel vs. Daejung Chemicals Metals | Gyeongnam Steel vs. DAEDUCK ELECTRONICS CoLtd |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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