Correlation Between GCM Grosvenor and Princeton Capital
Can any of the company-specific risk be diversified away by investing in both GCM Grosvenor and Princeton Capital 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 GCM Grosvenor and Princeton Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GCM Grosvenor and Princeton Capital, you can compare the effects of market volatilities on GCM Grosvenor and Princeton Capital 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 GCM Grosvenor with a short position of Princeton Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of GCM Grosvenor and Princeton Capital.
Diversification Opportunities for GCM Grosvenor and Princeton Capital
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between GCM and Princeton is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding GCM Grosvenor and Princeton Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Princeton Capital and GCM Grosvenor 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 GCM Grosvenor are associated (or correlated) with Princeton Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Princeton Capital has no effect on the direction of GCM Grosvenor i.e., GCM Grosvenor and Princeton Capital go up and down completely randomly.
Pair Corralation between GCM Grosvenor and Princeton Capital
Given the investment horizon of 90 days GCM Grosvenor is expected to generate 1.48 times less return on investment than Princeton Capital. But when comparing it to its historical volatility, GCM Grosvenor is 4.99 times less risky than Princeton Capital. It trades about 0.13 of its potential returns per unit of risk. Princeton Capital is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 12.00 in Princeton Capital on September 16, 2024 and sell it today you would earn a total of 0.00 from holding Princeton Capital or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GCM Grosvenor vs. Princeton Capital
Performance |
Timeline |
GCM Grosvenor |
Princeton Capital |
GCM Grosvenor and Princeton Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GCM Grosvenor and Princeton Capital
The main advantage of trading using opposite GCM Grosvenor and Princeton Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GCM Grosvenor position performs unexpectedly, Princeton Capital 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 Princeton Capital will offset losses from the drop in Princeton Capital's long position.GCM Grosvenor vs. MFS Investment Grade | GCM Grosvenor vs. Eaton Vance National | GCM Grosvenor vs. Nuveen California Select | GCM Grosvenor vs. Federated Premier Municipal |
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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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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