Correlation Between ProShares Ultra and FT Cboe
Can any of the company-specific risk be diversified away by investing in both ProShares Ultra and FT Cboe 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 FT Cboe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ProShares Ultra Semiconductors and FT Cboe Vest, you can compare the effects of market volatilities on ProShares Ultra and FT Cboe 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 FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of ProShares Ultra and FT Cboe.
Diversification Opportunities for ProShares Ultra and FT Cboe
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between ProShares and SNOV is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Ultra Semiconductors and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 Semiconductors are associated (or correlated) with FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of ProShares Ultra i.e., ProShares Ultra and FT Cboe go up and down completely randomly.
Pair Corralation between ProShares Ultra and FT Cboe
Considering the 90-day investment horizon ProShares Ultra Semiconductors is expected to under-perform the FT Cboe. In addition to that, ProShares Ultra is 14.45 times more volatile than FT Cboe Vest. It trades about -0.08 of its total potential returns per unit of risk. FT Cboe Vest is currently generating about 0.56 per unit of volatility. If you would invest 2,316 in FT Cboe Vest on August 28, 2024 and sell it today you would earn a total of 80.00 from holding FT Cboe Vest or generate 3.45% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
ProShares Ultra Semiconductors vs. FT Cboe Vest
Performance |
| Timeline |
| ProShares Ultra Semi |
| FT Cboe Vest |
ProShares Ultra and FT Cboe Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ProShares Ultra and FT Cboe
The main advantage of trading using opposite ProShares Ultra and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares Ultra position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.| ProShares Ultra vs. ProShares Ultra Technology | ProShares Ultra vs. ProShares Ultra Industrials | ProShares Ultra vs. ProShares Ultra Basic | ProShares Ultra vs. ProShares Ultra Health |
| FT Cboe vs. Dimensional ETF Trust | FT Cboe vs. Vanguard Small Cap Index | FT Cboe vs. First Trust Multi Manager | FT Cboe vs. Vanguard SP Small Cap |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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