Correlation Between Xtrackers ShortDAX and Bank of China Limited
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and Bank of China Limited 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 Xtrackers ShortDAX and Bank of China Limited into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and Bank of China, you can compare the effects of market volatilities on Xtrackers ShortDAX and Bank of China Limited 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 Xtrackers ShortDAX with a short position of Bank of China Limited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and Bank of China Limited.
Diversification Opportunities for Xtrackers ShortDAX and Bank of China Limited
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Xtrackers and Bank is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and Bank of China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of China Limited and Xtrackers ShortDAX 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 Xtrackers ShortDAX are associated (or correlated) with Bank of China Limited. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of China Limited has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and Bank of China Limited go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and Bank of China Limited
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the Bank of China Limited. In addition to that, Xtrackers ShortDAX is 1.01 times more volatile than Bank of China. It trades about -0.12 of its total potential returns per unit of risk. Bank of China is currently generating about 0.03 per unit of volatility. If you would invest 50.00 in Bank of China on April 25, 2025 and sell it today you would earn a total of 1.00 from holding Bank of China or generate 2.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers ShortDAX vs. Bank of China
Performance |
Timeline |
Xtrackers ShortDAX |
Bank of China Limited |
Xtrackers ShortDAX and Bank of China Limited Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers ShortDAX and Bank of China Limited
The main advantage of trading using opposite Xtrackers ShortDAX and Bank of China Limited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, Bank of China Limited 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 Bank of China Limited will offset losses from the drop in Bank of China Limited's long position.Xtrackers ShortDAX vs. Xtrackers II Global | Xtrackers ShortDAX vs. Xtrackers FTSE | Xtrackers ShortDAX vs. Xtrackers SP 500 | Xtrackers ShortDAX vs. Xtrackers MSCI |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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