Correlation Between California Bond and Dreyfus Gnma
Can any of the company-specific risk be diversified away by investing in both California Bond and Dreyfus Gnma 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 California Bond and Dreyfus Gnma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between California Bond Fund and Dreyfus Gnma Fund, you can compare the effects of market volatilities on California Bond and Dreyfus Gnma 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 California Bond with a short position of Dreyfus Gnma. Check out your portfolio center. Please also check ongoing floating volatility patterns of California Bond and Dreyfus Gnma.
Diversification Opportunities for California Bond and Dreyfus Gnma
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between California and Dreyfus is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding California Bond Fund and Dreyfus Gnma Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Gnma and California Bond 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 California Bond Fund are associated (or correlated) with Dreyfus Gnma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Gnma has no effect on the direction of California Bond i.e., California Bond and Dreyfus Gnma go up and down completely randomly.
Pair Corralation between California Bond and Dreyfus Gnma
Assuming the 90 days horizon California Bond Fund is expected to under-perform the Dreyfus Gnma. But the mutual fund apears to be less risky and, when comparing its historical volatility, California Bond Fund is 1.01 times less risky than Dreyfus Gnma. The mutual fund trades about -0.01 of its potential returns per unit of risk. The Dreyfus Gnma Fund is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 1,249 in Dreyfus Gnma Fund on December 22, 2024 and sell it today you would earn a total of 36.00 from holding Dreyfus Gnma Fund or generate 2.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
California Bond Fund vs. Dreyfus Gnma Fund
Performance |
Timeline |
California Bond |
Dreyfus Gnma |
California Bond and Dreyfus Gnma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with California Bond and Dreyfus Gnma
The main advantage of trading using opposite California Bond and Dreyfus Gnma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if California Bond position performs unexpectedly, Dreyfus Gnma 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 Dreyfus Gnma will offset losses from the drop in Dreyfus Gnma's long position.California Bond vs. Miller Vertible Bond | California Bond vs. Rationalpier 88 Convertible | California Bond vs. Teton Vertible Securities | California Bond vs. Putnam Convertible Securities |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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