Correlation Between Gyeongnam Steel and Prestige Biologics
Can any of the company-specific risk be diversified away by investing in both Gyeongnam Steel and Prestige Biologics 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 Prestige Biologics 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 Prestige Biologics Co, you can compare the effects of market volatilities on Gyeongnam Steel and Prestige Biologics 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 Prestige Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gyeongnam Steel and Prestige Biologics.
Diversification Opportunities for Gyeongnam Steel and Prestige Biologics
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Gyeongnam and Prestige is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Gyeongnam Steel Co and Prestige Biologics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prestige Biologics 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 Prestige Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prestige Biologics has no effect on the direction of Gyeongnam Steel i.e., Gyeongnam Steel and Prestige Biologics go up and down completely randomly.
Pair Corralation between Gyeongnam Steel and Prestige Biologics
Assuming the 90 days trading horizon Gyeongnam Steel Co is expected to generate 1.88 times more return on investment than Prestige Biologics. However, Gyeongnam Steel is 1.88 times more volatile than Prestige Biologics Co. It trades about 0.25 of its potential returns per unit of risk. Prestige Biologics Co is currently generating about -0.15 per unit of risk. If you would invest 307,500 in Gyeongnam Steel Co on September 22, 2024 and sell it today you would earn a total of 164,500 from holding Gyeongnam Steel Co or generate 53.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Gyeongnam Steel Co vs. Prestige Biologics Co
Performance |
Timeline |
Gyeongnam Steel |
Prestige Biologics |
Gyeongnam Steel and Prestige Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gyeongnam Steel and Prestige Biologics
The main advantage of trading using opposite Gyeongnam Steel and Prestige Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gyeongnam Steel position performs unexpectedly, Prestige Biologics 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 Prestige Biologics will offset losses from the drop in Prestige Biologics' long position.Gyeongnam Steel vs. Mgame Corp | Gyeongnam Steel vs. Dongbang Ship Machinery | Gyeongnam Steel vs. Tuksu Engineering ConstructionLtd | Gyeongnam Steel vs. Korea Alcohol Industrial |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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