Correlation Between Barings Emerging and Dreyfus Natural
Can any of the company-specific risk be diversified away by investing in both Barings Emerging and Dreyfus Natural 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 Barings Emerging and Dreyfus Natural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barings Emerging Markets and Dreyfus Natural Resources, you can compare the effects of market volatilities on Barings Emerging and Dreyfus Natural 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 Barings Emerging with a short position of Dreyfus Natural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Emerging and Dreyfus Natural.
Diversification Opportunities for Barings Emerging and Dreyfus Natural
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Barings and Dreyfus is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Barings Emerging Markets and Dreyfus Natural Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Natural Resources and Barings Emerging 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 Barings Emerging Markets are associated (or correlated) with Dreyfus Natural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Natural Resources has no effect on the direction of Barings Emerging i.e., Barings Emerging and Dreyfus Natural go up and down completely randomly.
Pair Corralation between Barings Emerging and Dreyfus Natural
Assuming the 90 days horizon Barings Emerging Markets is expected to generate 0.26 times more return on investment than Dreyfus Natural. However, Barings Emerging Markets is 3.84 times less risky than Dreyfus Natural. It trades about 0.04 of its potential returns per unit of risk. Dreyfus Natural Resources is currently generating about -0.02 per unit of risk. If you would invest 695.00 in Barings Emerging Markets on October 15, 2024 and sell it today you would earn a total of 50.00 from holding Barings Emerging Markets or generate 7.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Barings Emerging Markets vs. Dreyfus Natural Resources
Performance |
| Timeline |
| Barings Emerging Markets |
| Dreyfus Natural Resources |
Barings Emerging and Dreyfus Natural Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Barings Emerging and Dreyfus Natural
The main advantage of trading using opposite Barings Emerging and Dreyfus Natural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Emerging position performs unexpectedly, Dreyfus Natural 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 Natural will offset losses from the drop in Dreyfus Natural's long position.| Barings Emerging vs. Fidelity Real Estate | Barings Emerging vs. Pender Real Estate | Barings Emerging vs. Vy Clarion Real | Barings Emerging vs. Sa Real Estate |
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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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