Correlation Between ProShares Short and T Rex
Can any of the company-specific risk be diversified away by investing in both ProShares Short and T Rex 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 Short and T Rex into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ProShares Short QQQ and T Rex 2X Inverse, you can compare the effects of market volatilities on ProShares Short and T Rex 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 Short with a short position of T Rex. Check out your portfolio center. Please also check ongoing floating volatility patterns of ProShares Short and T Rex.
Diversification Opportunities for ProShares Short and T Rex
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ProShares and TSLZ is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Short QQQ and T Rex 2X Inverse in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on T Rex 2X and ProShares Short 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 Short QQQ are associated (or correlated) with T Rex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of T Rex 2X has no effect on the direction of ProShares Short i.e., ProShares Short and T Rex go up and down completely randomly.
Pair Corralation between ProShares Short and T Rex
Considering the 90-day investment horizon ProShares Short QQQ is expected to generate 0.1 times more return on investment than T Rex. However, ProShares Short QQQ is 9.67 times less risky than T Rex. It trades about -0.22 of its potential returns per unit of risk. T Rex 2X Inverse is currently generating about -0.33 per unit of risk. If you would invest 3,997 in ProShares Short QQQ on September 1, 2024 and sell it today you would lose (183.00) from holding ProShares Short QQQ or give up 4.58% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.45% |
| Values | Daily Returns |
ProShares Short QQQ vs. T Rex 2X Inverse
Performance |
| Timeline |
| ProShares Short QQQ |
| T Rex 2X |
ProShares Short and T Rex Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ProShares Short and T Rex
The main advantage of trading using opposite ProShares Short and T Rex positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares Short position performs unexpectedly, T Rex 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 T Rex will offset losses from the drop in T Rex's long position.The idea behind ProShares Short QQQ and T Rex 2X Inverse pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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