Correlation Between Gabelli Gold and Catalyst/smh Total
Can any of the company-specific risk be diversified away by investing in both Gabelli Gold and Catalyst/smh Total 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 Gabelli Gold and Catalyst/smh Total into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gabelli Gold Fund and Catalystsmh Total Return, you can compare the effects of market volatilities on Gabelli Gold and Catalyst/smh Total 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 Gabelli Gold with a short position of Catalyst/smh Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gabelli Gold and Catalyst/smh Total.
Diversification Opportunities for Gabelli Gold and Catalyst/smh Total
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gabelli and Catalyst/smh is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Gabelli Gold Fund and Catalystsmh Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh Total Return and Gabelli Gold 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 Gabelli Gold Fund are associated (or correlated) with Catalyst/smh Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh Total Return has no effect on the direction of Gabelli Gold i.e., Gabelli Gold and Catalyst/smh Total go up and down completely randomly.
Pair Corralation between Gabelli Gold and Catalyst/smh Total
Assuming the 90 days horizon Gabelli Gold is expected to generate 1.11 times less return on investment than Catalyst/smh Total. In addition to that, Gabelli Gold is 2.85 times more volatile than Catalystsmh Total Return. It trades about 0.08 of its total potential returns per unit of risk. Catalystsmh Total Return is currently generating about 0.25 per unit of volatility. If you would invest 435.00 in Catalystsmh Total Return on April 24, 2025 and sell it today you would earn a total of 52.00 from holding Catalystsmh Total Return or generate 11.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gabelli Gold Fund vs. Catalystsmh Total Return
Performance |
Timeline |
Gabelli Gold |
Catalystsmh Total Return |
Gabelli Gold and Catalyst/smh Total Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gabelli Gold and Catalyst/smh Total
The main advantage of trading using opposite Gabelli Gold and Catalyst/smh Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gabelli Gold position performs unexpectedly, Catalyst/smh Total 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 Catalyst/smh Total will offset losses from the drop in Catalyst/smh Total's long position.Gabelli Gold vs. Blackrock Science Technology | Gabelli Gold vs. Allianzgi Technology Fund | Gabelli Gold vs. Firsthand Technology Opportunities | Gabelli Gold vs. Red Oak 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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