Correlation Between Lyxor 1 and Deka Deutsche
Specify exactly 2 symbols:
By analyzing existing cross correlation between Lyxor 1 and Deka Deutsche Brse, you can compare the effects of market volatilities on Lyxor 1 and Deka Deutsche 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 Lyxor 1 with a short position of Deka Deutsche. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyxor 1 and Deka Deutsche.
Diversification Opportunities for Lyxor 1 and Deka Deutsche
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lyxor and Deka is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Lyxor 1 and Deka Deutsche Brse in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deka Deutsche Brse and Lyxor 1 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 Lyxor 1 are associated (or correlated) with Deka Deutsche. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deka Deutsche Brse has no effect on the direction of Lyxor 1 i.e., Lyxor 1 and Deka Deutsche go up and down completely randomly.
Pair Corralation between Lyxor 1 and Deka Deutsche
Assuming the 90 days trading horizon Lyxor 1 is expected to generate 11.68 times more return on investment than Deka Deutsche. However, Lyxor 1 is 11.68 times more volatile than Deka Deutsche Brse. It trades about 0.05 of its potential returns per unit of risk. Deka Deutsche Brse is currently generating about 0.25 per unit of risk. If you would invest 2,449 in Lyxor 1 on September 21, 2024 and sell it today you would earn a total of 101.00 from holding Lyxor 1 or generate 4.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lyxor 1 vs. Deka Deutsche Brse
Performance |
Timeline |
Lyxor 1 |
Deka Deutsche Brse |
Lyxor 1 and Deka Deutsche Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lyxor 1 and Deka Deutsche
The main advantage of trading using opposite Lyxor 1 and Deka Deutsche positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyxor 1 position performs unexpectedly, Deka Deutsche 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 Deka Deutsche will offset losses from the drop in Deka Deutsche's long position.Lyxor 1 vs. Lyxor Fed Funds | Lyxor 1 vs. Lyxor BofAML USD | Lyxor 1 vs. Lyxor Index Fund | Lyxor 1 vs. Lyxor 1 TecDAX |
Deka Deutsche vs. UBS Fund Solutions | Deka Deutsche vs. Xtrackers II | Deka Deutsche vs. Xtrackers Nikkei 225 | Deka Deutsche vs. iShares VII PLC |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Other Complementary Tools
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Fundamental Analysis View fundamental data based on most recent published financial statements |