Correlation Between Xtrackers ShortDAX and China Overseas
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and China Overseas 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 China Overseas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and China Overseas Land, you can compare the effects of market volatilities on Xtrackers ShortDAX and China Overseas 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 China Overseas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and China Overseas.
Diversification Opportunities for Xtrackers ShortDAX and China Overseas
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xtrackers and China is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and China Overseas Land in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Overseas Land 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 China Overseas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Overseas Land has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and China Overseas go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and China Overseas
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the China Overseas. But the etf apears to be less risky and, when comparing its historical volatility, Xtrackers ShortDAX is 1.14 times less risky than China Overseas. The etf trades about -0.2 of its potential returns per unit of risk. The China Overseas Land is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 157.00 in China Overseas Land on April 20, 2025 and sell it today you would lose (12.00) from holding China Overseas Land or give up 7.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Xtrackers ShortDAX vs. China Overseas Land
Performance |
Timeline |
Xtrackers ShortDAX |
China Overseas Land |
Xtrackers ShortDAX and China Overseas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers ShortDAX and China Overseas
The main advantage of trading using opposite Xtrackers ShortDAX and China Overseas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, China Overseas 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 China Overseas will offset losses from the drop in China Overseas' long position.Xtrackers ShortDAX vs. Xtrackers II Global | Xtrackers ShortDAX vs. Xtrackers FTSE | Xtrackers ShortDAX vs. Xtrackers SP 500 | Xtrackers ShortDAX vs. Xtrackers MSCI |
China Overseas vs. FORMPIPE SOFTWARE AB | China Overseas vs. Clean Energy Fuels | China Overseas vs. Alfa Financial Software | China Overseas vs. Axway Software SA |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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