Correlation Between AP Moeller and Hapag Lloyd
Can any of the company-specific risk be diversified away by investing in both AP Moeller 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 AP Moeller and Hapag Lloyd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AP Moeller Maersk AS and Hapag Lloyd Aktiengesellschaft, you can compare the effects of market volatilities on AP Moeller 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 AP Moeller with a short position of Hapag Lloyd. Check out your portfolio center. Please also check ongoing floating volatility patterns of AP Moeller and Hapag Lloyd.
Diversification Opportunities for AP Moeller and Hapag Lloyd
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between AMKBY and Hapag is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding AP Moeller Maersk AS and Hapag Lloyd Aktiengesellschaft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hapag Lloyd Aktienge and AP Moeller 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 AP Moeller Maersk AS 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 Aktienge has no effect on the direction of AP Moeller i.e., AP Moeller and Hapag Lloyd go up and down completely randomly.
Pair Corralation between AP Moeller and Hapag Lloyd
Assuming the 90 days horizon AP Moeller Maersk AS is expected to generate 0.8 times more return on investment than Hapag Lloyd. However, AP Moeller Maersk AS is 1.25 times less risky than Hapag Lloyd. It trades about 0.1 of its potential returns per unit of risk. Hapag Lloyd Aktiengesellschaft is currently generating about 0.03 per unit of risk. If you would invest 737.00 in AP Moeller Maersk AS on September 4, 2024 and sell it today you would earn a total of 124.00 from holding AP Moeller Maersk AS or generate 16.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
AP Moeller Maersk AS vs. Hapag Lloyd Aktiengesellschaft
Performance |
Timeline |
AP Moeller Maersk |
Hapag Lloyd Aktienge |
AP Moeller and Hapag Lloyd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AP Moeller and Hapag Lloyd
The main advantage of trading using opposite AP Moeller and Hapag Lloyd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AP Moeller 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.AP Moeller vs. Hapag Lloyd Aktiengesellschaft | AP Moeller vs. COSCO SHIPPING Holdings | AP Moeller vs. Orient Overseas Limited |
Hapag Lloyd vs. Hapag Lloyd Aktiengesellschaft | Hapag Lloyd vs. COSCO SHIPPING Holdings | Hapag Lloyd vs. Orient Overseas Limited |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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