Correlation Between ProShares Ultra and Fidelity Real
Can any of the company-specific risk be diversified away by investing in both ProShares Ultra and Fidelity Real 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 Fidelity Real 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 Fidelity Real Estate, you can compare the effects of market volatilities on ProShares Ultra and Fidelity Real 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 Fidelity Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of ProShares Ultra and Fidelity Real.
Diversification Opportunities for ProShares Ultra and Fidelity Real
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ProShares and Fidelity is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Ultra Semiconductors and Fidelity Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Real Estate 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 Fidelity Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Real Estate has no effect on the direction of ProShares Ultra i.e., ProShares Ultra and Fidelity Real go up and down completely randomly.
Pair Corralation between ProShares Ultra and Fidelity Real
Considering the 90-day investment horizon ProShares Ultra Semiconductors is expected to under-perform the Fidelity Real. In addition to that, ProShares Ultra is 8.25 times more volatile than Fidelity Real Estate. It trades about -0.06 of its total potential returns per unit of risk. Fidelity Real Estate is currently generating about 0.29 per unit of volatility. If you would invest 2,261 in Fidelity Real Estate on December 5, 2024 and sell it today you would earn a total of 99.00 from holding Fidelity Real Estate or generate 4.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ProShares Ultra Semiconductors vs. Fidelity Real Estate
Performance |
Timeline |
ProShares Ultra Semi |
Fidelity Real Estate |
ProShares Ultra and Fidelity Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ProShares Ultra and Fidelity Real
The main advantage of trading using opposite ProShares Ultra and Fidelity Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares Ultra position performs unexpectedly, Fidelity Real 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 Fidelity Real will offset losses from the drop in Fidelity Real'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 |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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