Correlation Between ProShares VIX and Invesco DB
Can any of the company-specific risk be diversified away by investing in both ProShares VIX 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 ProShares VIX and Invesco DB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ProShares VIX Mid Term and Invesco DB Dollar, you can compare the effects of market volatilities on ProShares VIX 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 ProShares VIX with a short position of Invesco DB. Check out your portfolio center. Please also check ongoing floating volatility patterns of ProShares VIX and Invesco DB.
Diversification Opportunities for ProShares VIX and Invesco DB
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ProShares and Invesco is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding ProShares VIX Mid Term 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 ProShares VIX 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 ProShares VIX Mid Term 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 ProShares VIX i.e., ProShares VIX and Invesco DB go up and down completely randomly.
Pair Corralation between ProShares VIX and Invesco DB
Given the investment horizon of 90 days ProShares VIX Mid Term is expected to under-perform the Invesco DB. In addition to that, ProShares VIX is 2.81 times more volatile than Invesco DB Dollar. It trades about -0.23 of its total potential returns per unit of risk. Invesco DB Dollar is currently generating about 0.18 per unit of volatility. If you would invest 2,922 in Invesco DB Dollar on August 31, 2024 and sell it today you would earn a total of 68.00 from holding Invesco DB Dollar or generate 2.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
ProShares VIX Mid Term vs. Invesco DB Dollar
Performance |
Timeline |
ProShares VIX Mid |
Invesco DB Dollar |
ProShares VIX and Invesco DB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ProShares VIX and Invesco DB
The main advantage of trading using opposite ProShares VIX and Invesco DB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares VIX 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.ProShares VIX vs. iPath Series B | ProShares VIX vs. ProShares VIX Short Term | ProShares VIX vs. ProShares Short VIX | ProShares VIX vs. ProShares Ultra 20 |
Invesco DB vs. ProShares VIX Mid Term | Invesco DB vs. ProShares VIX Short Term | Invesco DB vs. iPath Series B | Invesco DB vs. ProShares Short VIX |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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