Correlation Between 21Shares Aave and Dow Jones
Can any of the company-specific risk be diversified away by investing in both 21Shares Aave and Dow Jones 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 21Shares Aave and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 21Shares Aave ETP and Dow Jones Industrial, you can compare the effects of market volatilities on 21Shares Aave and Dow Jones 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 21Shares Aave with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of 21Shares Aave and Dow Jones.
Diversification Opportunities for 21Shares Aave and Dow Jones
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 21Shares and Dow is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding 21Shares Aave ETP and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and 21Shares Aave 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 21Shares Aave ETP are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of 21Shares Aave i.e., 21Shares Aave and Dow Jones go up and down completely randomly.
Pair Corralation between 21Shares Aave and Dow Jones
Assuming the 90 days trading horizon 21Shares Aave ETP is expected to generate 8.33 times more return on investment than Dow Jones. However, 21Shares Aave is 8.33 times more volatile than Dow Jones Industrial. It trades about 0.1 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.1 per unit of risk. If you would invest 1,091 in 21Shares Aave ETP on September 12, 2024 and sell it today you would earn a total of 1,952 from holding 21Shares Aave ETP or generate 178.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.8% |
Values | Daily Returns |
21Shares Aave ETP vs. Dow Jones Industrial
Performance |
Timeline |
21Shares Aave and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
21Shares Aave ETP
Pair trading matchups for 21Shares Aave
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with 21Shares Aave and Dow Jones
The main advantage of trading using opposite 21Shares Aave and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 21Shares Aave position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.21Shares Aave vs. Lyxor UCITS Japan | 21Shares Aave vs. Lyxor UCITS Japan | 21Shares Aave vs. Lyxor UCITS Stoxx | 21Shares Aave vs. Amundi CAC 40 |
Dow Jones vs. Aeye Inc | Dow Jones vs. Gentex | Dow Jones vs. Marine Products | Dow Jones vs. CarsalesCom Ltd ADR |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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