Correlation Between United States and Invesco DB
Can any of the company-specific risk be diversified away by investing in both United States and Invesco DB 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 United States and Invesco DB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Gasoline and Invesco DB Oil, you can compare the effects of market volatilities on United States and Invesco DB 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 United States with a short position of Invesco DB. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and Invesco DB.
Diversification Opportunities for United States and Invesco DB
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between United and Invesco is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding United States Gasoline and Invesco DB Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco DB Oil and United States 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 United States Gasoline are associated (or correlated) with Invesco DB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco DB Oil has no effect on the direction of United States i.e., United States and Invesco DB go up and down completely randomly.
Pair Corralation between United States and Invesco DB
Considering the 90-day investment horizon United States is expected to generate 2.65 times less return on investment than Invesco DB. In addition to that, United States is 1.48 times more volatile than Invesco DB Oil. It trades about 0.03 of its total potential returns per unit of risk. Invesco DB Oil is currently generating about 0.12 per unit of volatility. If you would invest 1,545 in Invesco DB Oil on January 25, 2024 and sell it today you would earn a total of 31.00 from holding Invesco DB Oil or generate 2.01% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
United States Gasoline vs. Invesco DB Oil
Performance |
| Timeline |
| United States Gasoline |
| Invesco DB Oil |
United States and Invesco DB Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with United States and Invesco DB
The main advantage of trading using opposite United States and Invesco DB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, Invesco DB 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 Invesco DB will offset losses from the drop in Invesco DB's long position.| United States vs. HUMANA INC | United States vs. Aquagold International | United States vs. Barloworld Ltd ADR | United States vs. Morningstar Unconstrained Allocation |
| Invesco DB vs. HUMANA INC | Invesco DB vs. Aquagold International | Invesco DB vs. Barloworld Ltd ADR | Invesco DB vs. Morningstar Unconstrained Allocation |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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