Correlation Between Invesco Advantage and GCM Grosvenor
Can any of the company-specific risk be diversified away by investing in both Invesco Advantage and GCM Grosvenor 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 Advantage and GCM Grosvenor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco Advantage MIT and GCM Grosvenor, you can compare the effects of market volatilities on Invesco Advantage and GCM Grosvenor 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 Advantage with a short position of GCM Grosvenor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco Advantage and GCM Grosvenor.
Diversification Opportunities for Invesco Advantage and GCM Grosvenor
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Invesco and GCM is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Invesco Advantage MIT and GCM Grosvenor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GCM Grosvenor and Invesco Advantage 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 Advantage MIT are associated (or correlated) with GCM Grosvenor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GCM Grosvenor has no effect on the direction of Invesco Advantage i.e., Invesco Advantage and GCM Grosvenor go up and down completely randomly.
Pair Corralation between Invesco Advantage and GCM Grosvenor
Considering the 90-day investment horizon Invesco Advantage MIT is expected to under-perform the GCM Grosvenor. But the stock apears to be less risky and, when comparing its historical volatility, Invesco Advantage MIT is 15.93 times less risky than GCM Grosvenor. The stock trades about -0.01 of its potential returns per unit of risk. The GCM Grosvenor is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 70.00 in GCM Grosvenor on September 13, 2024 and sell it today you would earn a total of 50.00 from holding GCM Grosvenor or generate 71.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 93.75% |
Values | Daily Returns |
Invesco Advantage MIT vs. GCM Grosvenor
Performance |
Timeline |
Invesco Advantage MIT |
GCM Grosvenor |
Invesco Advantage and GCM Grosvenor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco Advantage and GCM Grosvenor
The main advantage of trading using opposite Invesco Advantage and GCM Grosvenor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco Advantage position performs unexpectedly, GCM Grosvenor 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 GCM Grosvenor will offset losses from the drop in GCM Grosvenor's long position.Invesco Advantage vs. Invesco Quality Municipal | Invesco Advantage vs. Invesco California Value | Invesco Advantage vs. DWS Municipal Income | Invesco Advantage vs. Invesco Trust For |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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