Correlation Between CU Medical and Hanjin Transportation
Can any of the company-specific risk be diversified away by investing in both CU Medical and Hanjin Transportation 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 CU Medical and Hanjin Transportation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CU Medical Systems and Hanjin Transportation Co, you can compare the effects of market volatilities on CU Medical and Hanjin Transportation 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 CU Medical with a short position of Hanjin Transportation. Check out your portfolio center. Please also check ongoing floating volatility patterns of CU Medical and Hanjin Transportation.
Diversification Opportunities for CU Medical and Hanjin Transportation
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 115480 and Hanjin is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding CU Medical Systems and Hanjin Transportation Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanjin Transportation and CU Medical 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 CU Medical Systems are associated (or correlated) with Hanjin Transportation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanjin Transportation has no effect on the direction of CU Medical i.e., CU Medical and Hanjin Transportation go up and down completely randomly.
Pair Corralation between CU Medical and Hanjin Transportation
Assuming the 90 days trading horizon CU Medical Systems is expected to under-perform the Hanjin Transportation. In addition to that, CU Medical is 1.43 times more volatile than Hanjin Transportation Co. It trades about -0.1 of its total potential returns per unit of risk. Hanjin Transportation Co is currently generating about 0.09 per unit of volatility. If you would invest 1,832,640 in Hanjin Transportation Co on October 7, 2024 and sell it today you would earn a total of 82,360 from holding Hanjin Transportation Co or generate 4.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CU Medical Systems vs. Hanjin Transportation Co
Performance |
Timeline |
CU Medical Systems |
Hanjin Transportation |
CU Medical and Hanjin Transportation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CU Medical and Hanjin Transportation
The main advantage of trading using opposite CU Medical and Hanjin Transportation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CU Medical position performs unexpectedly, Hanjin Transportation 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 Hanjin Transportation will offset losses from the drop in Hanjin Transportation's long position.CU Medical vs. Woori Technology | CU Medical vs. Ssangyong Information Communication | CU Medical vs. Digital Power Communications | CU Medical vs. Dongbang Transport Logistics |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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