Correlation Between IPath Series and ProShares Ultra
Can any of the company-specific risk be diversified away by investing in both IPath Series and ProShares Ultra 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 IPath Series and ProShares Ultra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iPath Series B and ProShares Ultra VIX, you can compare the effects of market volatilities on IPath Series and ProShares Ultra 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 IPath Series with a short position of ProShares Ultra. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Series and ProShares Ultra.
Diversification Opportunities for IPath Series and ProShares Ultra
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between IPath and ProShares is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and ProShares Ultra VIX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Ultra VIX and IPath Series 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 iPath Series B are associated (or correlated) with ProShares Ultra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Ultra VIX has no effect on the direction of IPath Series i.e., IPath Series and ProShares Ultra go up and down completely randomly.
Pair Corralation between IPath Series and ProShares Ultra
Considering the 90-day investment horizon iPath Series B is expected to generate 0.67 times more return on investment than ProShares Ultra. However, iPath Series B is 1.5 times less risky than ProShares Ultra. It trades about -0.14 of its potential returns per unit of risk. ProShares Ultra VIX is currently generating about -0.14 per unit of risk. If you would invest 6,455 in iPath Series B on May 6, 2025 and sell it today you would lose (1,864) from holding iPath Series B or give up 28.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iPath Series B vs. ProShares Ultra VIX
Performance |
Timeline |
iPath Series B |
ProShares Ultra VIX |
IPath Series and ProShares Ultra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPath Series and ProShares Ultra
The main advantage of trading using opposite IPath Series and ProShares Ultra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series position performs unexpectedly, ProShares Ultra 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 ProShares Ultra will offset losses from the drop in ProShares Ultra's long position.IPath Series vs. ProShares Ultra VIX | IPath Series vs. ProShares Short VIX | IPath Series vs. ProShares UltraPro Short | IPath Series vs. iShares 20 Year |
ProShares Ultra vs. ProShares UltraPro Short | ProShares Ultra vs. ProShares Short VIX | ProShares Ultra vs. iPath Series B | ProShares Ultra vs. ProShares UltraPro QQQ |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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