Correlation Between ProShares Ultra and DB Gold
Can any of the company-specific risk be diversified away by investing in both ProShares Ultra and DB Gold 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 Ultra and DB Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ProShares Ultra Bloomberg and DB Gold Short, you can compare the effects of market volatilities on ProShares Ultra and DB Gold 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 Ultra with a short position of DB Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of ProShares Ultra and DB Gold.
Diversification Opportunities for ProShares Ultra and DB Gold
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ProShares and DGZ is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Ultra Bloomberg and DB Gold Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Gold Short and ProShares Ultra 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 Ultra Bloomberg are associated (or correlated) with DB Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Gold Short has no effect on the direction of ProShares Ultra i.e., ProShares Ultra and DB Gold go up and down completely randomly.
Pair Corralation between ProShares Ultra and DB Gold
Given the investment horizon of 90 days ProShares Ultra Bloomberg is expected to generate 3.2 times more return on investment than DB Gold. However, ProShares Ultra is 3.2 times more volatile than DB Gold Short. It trades about 0.07 of its potential returns per unit of risk. DB Gold Short is currently generating about -0.01 per unit of risk. If you would invest 4,535 in ProShares Ultra Bloomberg on October 3, 2024 and sell it today you would earn a total of 1,047 from holding ProShares Ultra Bloomberg or generate 23.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ProShares Ultra Bloomberg vs. DB Gold Short
Performance |
Timeline |
ProShares Ultra Bloomberg |
DB Gold Short |
ProShares Ultra and DB Gold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ProShares Ultra and DB Gold
The main advantage of trading using opposite ProShares Ultra and DB Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares Ultra position performs unexpectedly, DB Gold 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 DB Gold will offset losses from the drop in DB Gold's long position.ProShares Ultra vs. United States Brent | ProShares Ultra vs. ProShares K 1 Free | ProShares Ultra vs. Invesco DB Energy | ProShares Ultra vs. Invesco DB Oil |
DB Gold vs. ProShares UltraShort Gold | DB Gold vs. ProShares Ultra Silver | DB Gold vs. DB Gold Double | DB Gold vs. ProShares Ultra Gold |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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