Correlation Between First Trust and ProShares UltraPro
Can any of the company-specific risk be diversified away by investing in both First Trust and ProShares UltraPro 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 First Trust and ProShares UltraPro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust SkyBridge and ProShares UltraPro Short, you can compare the effects of market volatilities on First Trust and ProShares UltraPro 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 First Trust with a short position of ProShares UltraPro. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and ProShares UltraPro.
Diversification Opportunities for First Trust and ProShares UltraPro
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between First and ProShares is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding First Trust SkyBridge and ProShares UltraPro Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares UltraPro Short and First Trust 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 First Trust SkyBridge are associated (or correlated) with ProShares UltraPro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares UltraPro Short has no effect on the direction of First Trust i.e., First Trust and ProShares UltraPro go up and down completely randomly.
Pair Corralation between First Trust and ProShares UltraPro
Given the investment horizon of 90 days First Trust SkyBridge is expected to generate 2.07 times more return on investment than ProShares UltraPro. However, First Trust is 2.07 times more volatile than ProShares UltraPro Short. It trades about 0.19 of its potential returns per unit of risk. ProShares UltraPro Short is currently generating about -0.03 per unit of risk. If you would invest 1,603 in First Trust SkyBridge on August 30, 2024 and sell it today you would earn a total of 454.00 from holding First Trust SkyBridge or generate 28.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust SkyBridge vs. ProShares UltraPro Short
Performance |
Timeline |
First Trust SkyBridge |
ProShares UltraPro Short |
First Trust and ProShares UltraPro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and ProShares UltraPro
The main advantage of trading using opposite First Trust and ProShares UltraPro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, ProShares UltraPro 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 UltraPro will offset losses from the drop in ProShares UltraPro's long position.First Trust vs. VanEck Digital Transformation | First Trust vs. Bitwise Crypto Industry | First Trust vs. Global X Blockchain | First Trust vs. First Trust Indxx |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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