Correlation Between Great Wall and Bayerische Motoren
Can any of the company-specific risk be diversified away by investing in both Great Wall and Bayerische Motoren 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 Great Wall and Bayerische Motoren into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great Wall Motor and Bayerische Motoren Werke, you can compare the effects of market volatilities on Great Wall and Bayerische Motoren 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 Great Wall with a short position of Bayerische Motoren. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great Wall and Bayerische Motoren.
Diversification Opportunities for Great Wall and Bayerische Motoren
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Great and Bayerische is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Great Wall Motor and Bayerische Motoren Werke in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bayerische Motoren Werke and Great Wall 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 Great Wall Motor are associated (or correlated) with Bayerische Motoren. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bayerische Motoren Werke has no effect on the direction of Great Wall i.e., Great Wall and Bayerische Motoren go up and down completely randomly.
Pair Corralation between Great Wall and Bayerische Motoren
Assuming the 90 days horizon Great Wall Motor is expected to generate 2.22 times more return on investment than Bayerische Motoren. However, Great Wall is 2.22 times more volatile than Bayerische Motoren Werke. It trades about 0.03 of its potential returns per unit of risk. Bayerische Motoren Werke is currently generating about 0.01 per unit of risk. If you would invest 1,299 in Great Wall Motor on October 11, 2024 and sell it today you would earn a total of 377.00 from holding Great Wall Motor or generate 29.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.95% |
Values | Daily Returns |
Great Wall Motor vs. Bayerische Motoren Werke
Performance |
Timeline |
Great Wall Motor |
Bayerische Motoren Werke |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Weak
Great Wall and Bayerische Motoren Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great Wall and Bayerische Motoren
The main advantage of trading using opposite Great Wall and Bayerische Motoren positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great Wall position performs unexpectedly, Bayerische Motoren 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 Bayerische Motoren will offset losses from the drop in Bayerische Motoren's long position.Great Wall vs. Mullen Automotive | Great Wall vs. Tesla Inc | Great Wall vs. Ford Motor | Great Wall vs. Nio Class A |
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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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
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