Correlation Between Xtrackers ShortDAX and GWILLI FOOD
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and GWILLI FOOD 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 ShortDAX and GWILLI FOOD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and GWILLI FOOD, you can compare the effects of market volatilities on Xtrackers ShortDAX and GWILLI FOOD 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 ShortDAX with a short position of GWILLI FOOD. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and GWILLI FOOD.
Diversification Opportunities for Xtrackers ShortDAX and GWILLI FOOD
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Xtrackers and GWILLI is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and GWILLI FOOD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GWILLI FOOD and Xtrackers ShortDAX 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 ShortDAX are associated (or correlated) with GWILLI FOOD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GWILLI FOOD has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and GWILLI FOOD go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and GWILLI FOOD
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to generate 5.02 times less return on investment than GWILLI FOOD. But when comparing it to its historical volatility, Xtrackers ShortDAX is 1.92 times less risky than GWILLI FOOD. It trades about 0.08 of its potential returns per unit of risk. GWILLI FOOD is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,450 in GWILLI FOOD on October 10, 2024 and sell it today you would earn a total of 100.00 from holding GWILLI FOOD or generate 6.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Xtrackers ShortDAX vs. GWILLI FOOD
Performance |
| Timeline |
| Xtrackers ShortDAX |
| GWILLI FOOD |
Xtrackers ShortDAX and GWILLI FOOD Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Xtrackers ShortDAX and GWILLI FOOD
The main advantage of trading using opposite Xtrackers ShortDAX and GWILLI FOOD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, GWILLI FOOD 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 GWILLI FOOD will offset losses from the drop in GWILLI FOOD's long position.| Xtrackers ShortDAX vs. Xtrackers II Global | Xtrackers ShortDAX vs. Xtrackers FTSE | Xtrackers ShortDAX vs. Xtrackers SP 500 | Xtrackers ShortDAX vs. Xtrackers MSCI |
| GWILLI FOOD vs. Transport International Holdings | GWILLI FOOD vs. Ryanair Holdings plc | GWILLI FOOD vs. SEALED AIR | GWILLI FOOD vs. SOGECLAIR SA INH |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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