Correlation Between Dreyfus Active and Precious Metals
Can any of the company-specific risk be diversified away by investing in both Dreyfus Active and Precious Metals 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 Active and Precious Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus Active Midcap and Precious Metals And, you can compare the effects of market volatilities on Dreyfus Active and Precious Metals 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 Active with a short position of Precious Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus Active and Precious Metals.
Diversification Opportunities for Dreyfus Active and Precious Metals
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dreyfus and Precious is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus Active Midcap and Precious Metals And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals And and Dreyfus Active 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 Active Midcap are associated (or correlated) with Precious Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Precious Metals And has no effect on the direction of Dreyfus Active i.e., Dreyfus Active and Precious Metals go up and down completely randomly.
Pair Corralation between Dreyfus Active and Precious Metals
Assuming the 90 days horizon Dreyfus Active Midcap is expected to generate 0.46 times more return on investment than Precious Metals. However, Dreyfus Active Midcap is 2.18 times less risky than Precious Metals. It trades about -0.05 of its potential returns per unit of risk. Precious Metals And is currently generating about -0.13 per unit of risk. If you would invest 6,152 in Dreyfus Active Midcap on October 8, 2024 and sell it today you would lose (120.00) from holding Dreyfus Active Midcap or give up 1.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dreyfus Active Midcap vs. Precious Metals And
Performance |
Timeline |
Dreyfus Active Midcap |
Precious Metals And |
Dreyfus Active and Precious Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dreyfus Active and Precious Metals
The main advantage of trading using opposite Dreyfus Active and Precious Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus Active position performs unexpectedly, Precious Metals 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 Precious Metals will offset losses from the drop in Precious Metals' long position.Dreyfus Active vs. Realestaterealreturn Strategy Fund | Dreyfus Active vs. Alphacentric Symmetry Strategy | Dreyfus Active vs. Franklin Emerging Market | Dreyfus Active vs. Virtus Multi Strategy Target |
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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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