Correlation Between Xtrackers ShortDAX and Airports
Can any of the company-specific risk be diversified away by investing in both Xtrackers ShortDAX and Airports 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 Airports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers ShortDAX and Airports of Thailand, you can compare the effects of market volatilities on Xtrackers ShortDAX and Airports 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 Airports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers ShortDAX and Airports.
Diversification Opportunities for Xtrackers ShortDAX and Airports
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xtrackers and Airports is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers ShortDAX and Airports of Thailand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airports of Thailand 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 Airports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airports of Thailand has no effect on the direction of Xtrackers ShortDAX i.e., Xtrackers ShortDAX and Airports go up and down completely randomly.
Pair Corralation between Xtrackers ShortDAX and Airports
Assuming the 90 days trading horizon Xtrackers ShortDAX is expected to under-perform the Airports. In addition to that, Xtrackers ShortDAX is 1.35 times more volatile than Airports of Thailand. It trades about -0.07 of its total potential returns per unit of risk. Airports of Thailand is currently generating about 0.08 per unit of volatility. If you would invest 155.00 in Airports of Thailand on September 3, 2024 and sell it today you would earn a total of 9.00 from holding Airports of Thailand or generate 5.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xtrackers ShortDAX vs. Airports of Thailand
Performance |
Timeline |
Xtrackers ShortDAX |
Airports of Thailand |
Xtrackers ShortDAX and Airports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers ShortDAX and Airports
The main advantage of trading using opposite Xtrackers ShortDAX and Airports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers ShortDAX position performs unexpectedly, Airports 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 Airports will offset losses from the drop in Airports' long position.Xtrackers ShortDAX vs. Xtrackers II Global | Xtrackers ShortDAX vs. Xtrackers FTSE | Xtrackers ShortDAX vs. Xtrackers SP 500 | Xtrackers ShortDAX vs. Xtrackers MSCI |
Airports vs. Airports of Thailand | Airports vs. Auckland International Airport | Airports vs. Aena SME SA | Airports vs. Ryanair Holdings 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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