Correlation Between Exxon and Invesco DB
Can any of the company-specific risk be diversified away by investing in both Exxon 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 Exxon and Invesco DB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exxon Mobil Corp and Invesco DB Dollar, you can compare the effects of market volatilities on Exxon 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 Exxon with a short position of Invesco DB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exxon and Invesco DB.
Diversification Opportunities for Exxon and Invesco DB
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Exxon and Invesco is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Exxon Mobil Corp and Invesco DB Dollar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco DB Dollar and Exxon 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 Exxon Mobil Corp 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 Dollar has no effect on the direction of Exxon i.e., Exxon and Invesco DB go up and down completely randomly.
Pair Corralation between Exxon and Invesco DB
Considering the 90-day investment horizon Exxon Mobil Corp is expected to generate 3.28 times more return on investment than Invesco DB. However, Exxon is 3.28 times more volatile than Invesco DB Dollar. It trades about 0.04 of its potential returns per unit of risk. Invesco DB Dollar is currently generating about -0.01 per unit of risk. If you would invest 10,241 in Exxon Mobil Corp on August 27, 2024 and sell it today you would earn a total of 1,938 from holding Exxon Mobil Corp or generate 18.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Exxon Mobil Corp vs. Invesco DB Dollar
Performance |
| Timeline |
| Exxon Mobil Corp |
| Invesco DB Dollar |
Exxon and Invesco DB Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Exxon and Invesco DB
The main advantage of trading using opposite Exxon and Invesco DB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exxon 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.The idea behind Exxon Mobil Corp and Invesco DB Dollar pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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