Correlation Between FT Cboe and ProShares Large
Can any of the company-specific risk be diversified away by investing in both FT Cboe and ProShares Large 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 FT Cboe and ProShares Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Cboe Vest and ProShares Large Cap, you can compare the effects of market volatilities on FT Cboe and ProShares Large 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 FT Cboe with a short position of ProShares Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and ProShares Large.
Diversification Opportunities for FT Cboe and ProShares Large
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between BUFD and ProShares is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and ProShares Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Large Cap and FT Cboe 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 FT Cboe Vest are associated (or correlated) with ProShares Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Large Cap has no effect on the direction of FT Cboe i.e., FT Cboe and ProShares Large go up and down completely randomly.
Pair Corralation between FT Cboe and ProShares Large
Given the investment horizon of 90 days FT Cboe is expected to generate 1.71 times less return on investment than ProShares Large. But when comparing it to its historical volatility, FT Cboe Vest is 1.94 times less risky than ProShares Large. It trades about 0.38 of its potential returns per unit of risk. ProShares Large Cap is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 5,978 in ProShares Large Cap on April 22, 2025 and sell it today you would earn a total of 1,163 from holding ProShares Large Cap or generate 19.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.41% |
Values | Daily Returns |
FT Cboe Vest vs. ProShares Large Cap
Performance |
Timeline |
FT Cboe Vest |
ProShares Large Cap |
FT Cboe and ProShares Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FT Cboe and ProShares Large
The main advantage of trading using opposite FT Cboe and ProShares Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, ProShares Large 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 Large will offset losses from the drop in ProShares Large's long position.FT Cboe vs. First Trust Cboe | FT Cboe vs. FT Cboe Vest | FT Cboe vs. FT Cboe Vest | FT Cboe vs. First Trust Exchange Traded |
ProShares Large vs. ProShares Hedge Replication | ProShares Large vs. ProShares Ultra MSCI | ProShares Large vs. ProShares Ultra Consumer | ProShares Large vs. ProShares Ultra Consumer |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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