Correlation Between Xtrackers LevDAX and Chiba Bank
Can any of the company-specific risk be diversified away by investing in both Xtrackers LevDAX and Chiba Bank 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 LevDAX and Chiba Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers LevDAX and Chiba Bank, you can compare the effects of market volatilities on Xtrackers LevDAX and Chiba Bank 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 LevDAX with a short position of Chiba Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers LevDAX and Chiba Bank.
Diversification Opportunities for Xtrackers LevDAX and Chiba Bank
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Xtrackers and Chiba is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers LevDAX and Chiba Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chiba Bank and Xtrackers LevDAX 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 LevDAX are associated (or correlated) with Chiba Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chiba Bank has no effect on the direction of Xtrackers LevDAX i.e., Xtrackers LevDAX and Chiba Bank go up and down completely randomly.
Pair Corralation between Xtrackers LevDAX and Chiba Bank
Assuming the 90 days trading horizon Xtrackers LevDAX is expected to generate 1.35 times more return on investment than Chiba Bank. However, Xtrackers LevDAX is 1.35 times more volatile than Chiba Bank. It trades about 0.2 of its potential returns per unit of risk. Chiba Bank is currently generating about 0.23 per unit of risk. If you would invest 19,958 in Xtrackers LevDAX on December 30, 2024 and sell it today you would earn a total of 5,457 from holding Xtrackers LevDAX or generate 27.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Xtrackers LevDAX vs. Chiba Bank
Performance |
Timeline |
Xtrackers LevDAX |
Chiba Bank |
Xtrackers LevDAX and Chiba Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers LevDAX and Chiba Bank
The main advantage of trading using opposite Xtrackers LevDAX and Chiba Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers LevDAX position performs unexpectedly, Chiba Bank 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 Chiba Bank will offset losses from the drop in Chiba Bank's long position.Xtrackers LevDAX vs. Xtrackers II Global | Xtrackers LevDAX vs. Xtrackers FTSE | Xtrackers LevDAX vs. Xtrackers SP 500 | Xtrackers LevDAX vs. Xtrackers MSCI |
Chiba Bank vs. China Foods Limited | Chiba Bank vs. Coeur Mining | Chiba Bank vs. Stag Industrial | Chiba Bank vs. MCEWEN MINING INC |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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