Correlation Between Xtrackers LevDAX and UBS Money
Can any of the company-specific risk be diversified away by investing in both Xtrackers LevDAX and UBS Money 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 UBS Money into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers LevDAX and UBS Money Market, you can compare the effects of market volatilities on Xtrackers LevDAX and UBS Money 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 UBS Money. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers LevDAX and UBS Money.
Diversification Opportunities for Xtrackers LevDAX and UBS Money
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Xtrackers and UBS is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers LevDAX and UBS Money Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS Money Market 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 UBS Money. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS Money Market has no effect on the direction of Xtrackers LevDAX i.e., Xtrackers LevDAX and UBS Money go up and down completely randomly.
Pair Corralation between Xtrackers LevDAX and UBS Money
Assuming the 90 days trading horizon Xtrackers LevDAX is expected to generate 4.62 times more return on investment than UBS Money. However, Xtrackers LevDAX is 4.62 times more volatile than UBS Money Market. It trades about 0.12 of its potential returns per unit of risk. UBS Money Market is currently generating about 0.35 per unit of risk. If you would invest 18,238 in Xtrackers LevDAX on September 22, 2024 and sell it today you would earn a total of 2,492 from holding Xtrackers LevDAX or generate 13.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.88% |
Values | Daily Returns |
Xtrackers LevDAX vs. UBS Money Market
Performance |
Timeline |
Xtrackers LevDAX |
UBS Money Market |
Xtrackers LevDAX and UBS Money Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers LevDAX and UBS Money
The main advantage of trading using opposite Xtrackers LevDAX and UBS Money positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers LevDAX position performs unexpectedly, UBS Money 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 UBS Money will offset losses from the drop in UBS Money'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 |
UBS Money vs. Swedbank Robur Corporate | UBS Money vs. BBVA Telecomunicaciones PP | UBS Money vs. Caixabank Seleccin Tendencias | UBS Money vs. JPMIF Bond Fund |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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