Correlation Between Invesco Global and ProShares Hedge
Can any of the company-specific risk be diversified away by investing in both Invesco Global and ProShares Hedge 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 Invesco Global and ProShares Hedge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco Global Listed and ProShares Hedge Replication, you can compare the effects of market volatilities on Invesco Global and ProShares Hedge 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 Invesco Global with a short position of ProShares Hedge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco Global and ProShares Hedge.
Diversification Opportunities for Invesco Global and ProShares Hedge
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Invesco and ProShares is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Invesco Global Listed and ProShares Hedge Replication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Hedge Repl and Invesco Global 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 Invesco Global Listed are associated (or correlated) with ProShares Hedge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Hedge Repl has no effect on the direction of Invesco Global i.e., Invesco Global and ProShares Hedge go up and down completely randomly.
Pair Corralation between Invesco Global and ProShares Hedge
Considering the 90-day investment horizon Invesco Global Listed is expected to generate 3.04 times more return on investment than ProShares Hedge. However, Invesco Global is 3.04 times more volatile than ProShares Hedge Replication. It trades about 0.18 of its potential returns per unit of risk. ProShares Hedge Replication is currently generating about 0.12 per unit of risk. If you would invest 6,297 in Invesco Global Listed on September 5, 2024 and sell it today you would earn a total of 811.00 from holding Invesco Global Listed or generate 12.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Invesco Global Listed vs. ProShares Hedge Replication
Performance |
Timeline |
Invesco Global Listed |
ProShares Hedge Repl |
Invesco Global and ProShares Hedge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco Global and ProShares Hedge
The main advantage of trading using opposite Invesco Global and ProShares Hedge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco Global position performs unexpectedly, ProShares Hedge 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 Hedge will offset losses from the drop in ProShares Hedge's long position.Invesco Global vs. SPACE | Invesco Global vs. Bayview Acquisition Corp | Invesco Global vs. Ampleforth | Invesco Global vs. ionet |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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