Correlation Between Comstock Capital and Gabelli Growth
Can any of the company-specific risk be diversified away by investing in both Comstock Capital and Gabelli Growth 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 Comstock Capital and Gabelli Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Comstock Capital Value and The Gabelli Growth, you can compare the effects of market volatilities on Comstock Capital and Gabelli Growth 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 Comstock Capital with a short position of Gabelli Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Comstock Capital and Gabelli Growth.
Diversification Opportunities for Comstock Capital and Gabelli Growth
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Comstock and Gabelli is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Comstock Capital Value and The Gabelli Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gabelli Growth and Comstock Capital 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 Comstock Capital Value are associated (or correlated) with Gabelli Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gabelli Growth has no effect on the direction of Comstock Capital i.e., Comstock Capital and Gabelli Growth go up and down completely randomly.
Pair Corralation between Comstock Capital and Gabelli Growth
Assuming the 90 days horizon Comstock Capital Value is expected to generate 0.18 times more return on investment than Gabelli Growth. However, Comstock Capital Value is 5.65 times less risky than Gabelli Growth. It trades about 0.22 of its potential returns per unit of risk. The Gabelli Growth is currently generating about -0.1 per unit of risk. If you would invest 404.00 in Comstock Capital Value on December 28, 2024 and sell it today you would earn a total of 15.00 from holding Comstock Capital Value or generate 3.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Comstock Capital Value vs. The Gabelli Growth
Performance |
Timeline |
Comstock Capital Value |
Gabelli Growth |
Comstock Capital and Gabelli Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Comstock Capital and Gabelli Growth
The main advantage of trading using opposite Comstock Capital and Gabelli Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Comstock Capital position performs unexpectedly, Gabelli Growth 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 Growth will offset losses from the drop in Gabelli Growth's long position.Comstock Capital vs. Transamerica Emerging Markets | Comstock Capital vs. Prudential Emerging Markets | Comstock Capital vs. Saat Defensive Strategy | Comstock Capital vs. Pnc Emerging Markets |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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