Correlation Between Leverage Shares and Xtrackers Russell
Can any of the company-specific risk be diversified away by investing in both Leverage Shares and Xtrackers Russell 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 Leverage Shares and Xtrackers Russell into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Leverage Shares 3x and Xtrackers Russell 2000, you can compare the effects of market volatilities on Leverage Shares and Xtrackers Russell 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 Leverage Shares with a short position of Xtrackers Russell. Check out your portfolio center. Please also check ongoing floating volatility patterns of Leverage Shares and Xtrackers Russell.
Diversification Opportunities for Leverage Shares and Xtrackers Russell
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Leverage and Xtrackers is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Leverage Shares 3x and Xtrackers Russell 2000 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xtrackers Russell 2000 and Leverage Shares 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 Leverage Shares 3x are associated (or correlated) with Xtrackers Russell. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xtrackers Russell 2000 has no effect on the direction of Leverage Shares i.e., Leverage Shares and Xtrackers Russell go up and down completely randomly.
Pair Corralation between Leverage Shares and Xtrackers Russell
Assuming the 90 days trading horizon Leverage Shares 3x is expected to generate 6.56 times more return on investment than Xtrackers Russell. However, Leverage Shares is 6.56 times more volatile than Xtrackers Russell 2000. It trades about 0.03 of its potential returns per unit of risk. Xtrackers Russell 2000 is currently generating about 0.18 per unit of risk. If you would invest 50,274 in Leverage Shares 3x on September 12, 2024 and sell it today you would lose (1,976) from holding Leverage Shares 3x or give up 3.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Leverage Shares 3x vs. Xtrackers Russell 2000
Performance |
Timeline |
Leverage Shares 3x |
Xtrackers Russell 2000 |
Leverage Shares and Xtrackers Russell Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Leverage Shares and Xtrackers Russell
The main advantage of trading using opposite Leverage Shares and Xtrackers Russell positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Leverage Shares position performs unexpectedly, Xtrackers Russell 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 Russell will offset losses from the drop in Xtrackers Russell's long position.Leverage Shares vs. WisdomTree Natural Gas | Leverage Shares vs. Leverage Shares 3x | Leverage Shares vs. GraniteShares 3x Short | Leverage Shares vs. WisdomTree Natural Gas |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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