Correlation Between College Retirement and Gabelli Gold
Can any of the company-specific risk be diversified away by investing in both College Retirement and Gabelli Gold 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 College Retirement and Gabelli Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between College Retirement Equities and Gabelli Gold Fund, you can compare the effects of market volatilities on College Retirement and Gabelli Gold 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 College Retirement with a short position of Gabelli Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of College Retirement and Gabelli Gold.
Diversification Opportunities for College Retirement and Gabelli Gold
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between College and Gabelli is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding College Retirement Equities and Gabelli Gold Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gabelli Gold and College Retirement 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 College Retirement Equities are associated (or correlated) with Gabelli Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gabelli Gold has no effect on the direction of College Retirement i.e., College Retirement and Gabelli Gold go up and down completely randomly.
Pair Corralation between College Retirement and Gabelli Gold
Assuming the 90 days trading horizon College Retirement Equities is expected to generate 0.46 times more return on investment than Gabelli Gold. However, College Retirement Equities is 2.19 times less risky than Gabelli Gold. It trades about 0.08 of its potential returns per unit of risk. Gabelli Gold Fund is currently generating about -0.1 per unit of risk. If you would invest 48,854 in College Retirement Equities on September 22, 2024 and sell it today you would earn a total of 2,024 from holding College Retirement Equities or generate 4.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
College Retirement Equities vs. Gabelli Gold Fund
Performance |
Timeline |
College Retirement |
Gabelli Gold |
College Retirement and Gabelli Gold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with College Retirement and Gabelli Gold
The main advantage of trading using opposite College Retirement and Gabelli Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if College Retirement position performs unexpectedly, Gabelli Gold 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 Gabelli Gold will offset losses from the drop in Gabelli Gold's long position.College Retirement vs. Science Technology Fund | College Retirement vs. Towpath Technology | College Retirement vs. Icon Information Technology | College Retirement vs. Janus Global Technology |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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