Correlation Between Xtrackers ShortDAX and Packaging
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and Packaging 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 Packaging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and Packaging of, you can compare the effects of market volatilities on Xtrackers ShortDAX and Packaging 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 Packaging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and Packaging.
Diversification Opportunities for Xtrackers ShortDAX and Packaging
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xtrackers and Packaging is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and Packaging of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Packaging 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 Packaging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Packaging has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and Packaging go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and Packaging
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the Packaging. In addition to that, Xtrackers ShortDAX is 1.15 times more volatile than Packaging of. It trades about -0.06 of its total potential returns per unit of risk. Packaging of is currently generating about 0.1 per unit of volatility. If you would invest 11,939 in Packaging of on August 29, 2024 and sell it today you would earn a total of 11,541 from holding Packaging of or generate 96.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.8% |
| Values | Daily Returns |
Xtrackers ShortDAX vs. Packaging of
Performance |
| Timeline |
| Xtrackers ShortDAX |
| Packaging |
Xtrackers ShortDAX and Packaging Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Xtrackers ShortDAX and Packaging
The main advantage of trading using opposite Xtrackers ShortDAX and Packaging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, Packaging 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 Packaging will offset losses from the drop in Packaging'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 |
| Packaging vs. Host Hotels Resorts | Packaging vs. MIRAMAR HOTEL INV | Packaging vs. COVIVIO HOTELS INH | Packaging vs. InterContinental Hotels Group |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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