Correlation Between Qingdao Port and Hapag-Lloyd
Can any of the company-specific risk be diversified away by investing in both Qingdao Port and Hapag-Lloyd 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 Qingdao Port and Hapag-Lloyd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qingdao Port International and Hapag Lloyd AG, you can compare the effects of market volatilities on Qingdao Port and Hapag-Lloyd 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 Qingdao Port with a short position of Hapag-Lloyd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qingdao Port and Hapag-Lloyd.
Diversification Opportunities for Qingdao Port and Hapag-Lloyd
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Qingdao and Hapag-Lloyd is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Qingdao Port International and Hapag Lloyd AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hapag Lloyd AG and Qingdao Port 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 Qingdao Port International are associated (or correlated) with Hapag-Lloyd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hapag Lloyd AG has no effect on the direction of Qingdao Port i.e., Qingdao Port and Hapag-Lloyd go up and down completely randomly.
Pair Corralation between Qingdao Port and Hapag-Lloyd
Assuming the 90 days horizon Qingdao Port International is expected to generate 1.11 times more return on investment than Hapag-Lloyd. However, Qingdao Port is 1.11 times more volatile than Hapag Lloyd AG. It trades about 0.15 of its potential returns per unit of risk. Hapag Lloyd AG is currently generating about 0.02 per unit of risk. If you would invest 52.00 in Qingdao Port International on September 23, 2024 and sell it today you would earn a total of 20.00 from holding Qingdao Port International or generate 38.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Qingdao Port International vs. Hapag Lloyd AG
Performance |
Timeline |
Qingdao Port Interna |
Hapag Lloyd AG |
Qingdao Port and Hapag-Lloyd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qingdao Port and Hapag-Lloyd
The main advantage of trading using opposite Qingdao Port and Hapag-Lloyd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qingdao Port position performs unexpectedly, Hapag-Lloyd 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 Hapag-Lloyd will offset losses from the drop in Hapag-Lloyd's long position.Qingdao Port vs. COSCO SHIPPING Holdings | Qingdao Port vs. Nippon Yusen Kabushiki | Qingdao Port vs. Hapag Lloyd AG | Qingdao Port vs. Orient Overseas Limited |
Hapag-Lloyd vs. COSCO SHIPPING Holdings | Hapag-Lloyd vs. Nippon Yusen Kabushiki | Hapag-Lloyd vs. Orient Overseas Limited | Hapag-Lloyd vs. COSCO SHIPPING Energy |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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