Correlation Between Chongqing Machinery and Hapag-Lloyd
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery 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 Chongqing Machinery and Hapag-Lloyd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chongqing Machinery Electric and Hapag Lloyd AG, you can compare the effects of market volatilities on Chongqing Machinery 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 Chongqing Machinery with a short position of Hapag-Lloyd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and Hapag-Lloyd.
Diversification Opportunities for Chongqing Machinery and Hapag-Lloyd
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chongqing and Hapag-Lloyd is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric 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 Chongqing Machinery 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 Chongqing Machinery Electric 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 Chongqing Machinery i.e., Chongqing Machinery and Hapag-Lloyd go up and down completely randomly.
Pair Corralation between Chongqing Machinery and Hapag-Lloyd
Assuming the 90 days horizon Chongqing Machinery Electric is expected to generate 1.79 times more return on investment than Hapag-Lloyd. However, Chongqing Machinery is 1.79 times more volatile than Hapag Lloyd AG. It trades about 0.07 of its potential returns per unit of risk. Hapag Lloyd AG is currently generating about 0.03 per unit of risk. If you would invest 2.13 in Chongqing Machinery Electric on September 5, 2024 and sell it today you would earn a total of 5.57 from holding Chongqing Machinery Electric or generate 261.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chongqing Machinery Electric vs. Hapag Lloyd AG
Performance |
Timeline |
Chongqing Machinery |
Hapag Lloyd AG |
Chongqing Machinery and Hapag-Lloyd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Machinery and Hapag-Lloyd
The main advantage of trading using opposite Chongqing Machinery and Hapag-Lloyd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery 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.Chongqing Machinery vs. Schneider Electric SE | Chongqing Machinery vs. ABB | Chongqing Machinery vs. 3M Company | Chongqing Machinery vs. Emerson Electric Co |
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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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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