Correlation Between Xtrackers and Xtrackers LevDAX
Specify exactly 2 symbols:
By analyzing existing cross correlation between Xtrackers SP 500 and Xtrackers LevDAX, you can compare the effects of market volatilities on Xtrackers and Xtrackers LevDAX 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 with a short position of Xtrackers LevDAX. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers and Xtrackers LevDAX.
Diversification Opportunities for Xtrackers and Xtrackers LevDAX
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Xtrackers and Xtrackers is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers SP 500 and Xtrackers LevDAX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xtrackers LevDAX and Xtrackers 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 SP 500 are associated (or correlated) with Xtrackers LevDAX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xtrackers LevDAX has no effect on the direction of Xtrackers i.e., Xtrackers and Xtrackers LevDAX go up and down completely randomly.
Pair Corralation between Xtrackers and Xtrackers LevDAX
Assuming the 90 days trading horizon Xtrackers is expected to generate 1.06 times less return on investment than Xtrackers LevDAX. But when comparing it to its historical volatility, Xtrackers SP 500 is 2.34 times less risky than Xtrackers LevDAX. It trades about 0.25 of its potential returns per unit of risk. Xtrackers LevDAX is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 18,580 in Xtrackers LevDAX on September 19, 2024 and sell it today you would earn a total of 2,345 from holding Xtrackers LevDAX or generate 12.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers SP 500 vs. Xtrackers LevDAX
Performance |
Timeline |
Xtrackers SP 500 |
Xtrackers LevDAX |
Xtrackers and Xtrackers LevDAX Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers and Xtrackers LevDAX
The main advantage of trading using opposite Xtrackers and Xtrackers LevDAX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers position performs unexpectedly, Xtrackers LevDAX 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 Xtrackers LevDAX will offset losses from the drop in Xtrackers LevDAX's long position.Xtrackers vs. UBS Fund Solutions | Xtrackers vs. Xtrackers II | Xtrackers vs. Xtrackers Nikkei 225 | Xtrackers vs. iShares VII PLC |
Xtrackers LevDAX vs. Xtrackers II Global | Xtrackers LevDAX vs. Xtrackers FTSE | Xtrackers LevDAX vs. Xtrackers SP 500 | Xtrackers LevDAX vs. Xtrackers MSCI |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |