Correlation Between Dreyfus Natural and Baillie Gifford
Can any of the company-specific risk be diversified away by investing in both Dreyfus Natural and Baillie Gifford 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 Dreyfus Natural and Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus Natural Resources and Baillie Gifford Eafe, you can compare the effects of market volatilities on Dreyfus Natural and Baillie Gifford 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 Dreyfus Natural with a short position of Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus Natural and Baillie Gifford.
Diversification Opportunities for Dreyfus Natural and Baillie Gifford
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dreyfus and Baillie is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus Natural Resources and Baillie Gifford Eafe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baillie Gifford Eafe and Dreyfus Natural 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 Dreyfus Natural Resources are associated (or correlated) with Baillie Gifford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baillie Gifford Eafe has no effect on the direction of Dreyfus Natural i.e., Dreyfus Natural and Baillie Gifford go up and down completely randomly.
Pair Corralation between Dreyfus Natural and Baillie Gifford
Assuming the 90 days horizon Dreyfus Natural Resources is expected to under-perform the Baillie Gifford. In addition to that, Dreyfus Natural is 1.38 times more volatile than Baillie Gifford Eafe. It trades about 0.0 of its total potential returns per unit of risk. Baillie Gifford Eafe is currently generating about 0.0 per unit of volatility. If you would invest 1,567 in Baillie Gifford Eafe on September 12, 2024 and sell it today you would lose (8.00) from holding Baillie Gifford Eafe or give up 0.51% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 98.44% |
| Values | Daily Returns |
Dreyfus Natural Resources vs. Baillie Gifford Eafe
Performance |
| Timeline |
| Dreyfus Natural Resources |
| Baillie Gifford Eafe |
Dreyfus Natural and Baillie Gifford Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dreyfus Natural and Baillie Gifford
The main advantage of trading using opposite Dreyfus Natural and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus Natural position performs unexpectedly, Baillie Gifford 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 Baillie Gifford will offset losses from the drop in Baillie Gifford's long position.| Dreyfus Natural vs. Rationalpier 88 Convertible | Dreyfus Natural vs. Calamos Dynamic Convertible | Dreyfus Natural vs. Gabelli Convertible And | Dreyfus Natural vs. Advent Claymore Convertible |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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