Correlation Between Dreyfus High and Dreyfus New
Can any of the company-specific risk be diversified away by investing in both Dreyfus High and Dreyfus New 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 High and Dreyfus New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus High Yield and Dreyfus New Jersey, you can compare the effects of market volatilities on Dreyfus High and Dreyfus New 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 High with a short position of Dreyfus New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus High and Dreyfus New.
Diversification Opportunities for Dreyfus High and Dreyfus New
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dreyfus and Dreyfus is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus High Yield and Dreyfus New Jersey in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus New Jersey and Dreyfus High 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 High Yield are associated (or correlated) with Dreyfus New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus New Jersey has no effect on the direction of Dreyfus High i.e., Dreyfus High and Dreyfus New go up and down completely randomly.
Pair Corralation between Dreyfus High and Dreyfus New
Assuming the 90 days horizon Dreyfus High Yield is expected to generate 1.37 times more return on investment than Dreyfus New. However, Dreyfus High is 1.37 times more volatile than Dreyfus New Jersey. It trades about 0.13 of its potential returns per unit of risk. Dreyfus New Jersey is currently generating about 0.15 per unit of risk. If you would invest 1,096 in Dreyfus High Yield on August 28, 2024 and sell it today you would earn a total of 14.00 from holding Dreyfus High Yield or generate 1.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dreyfus High Yield vs. Dreyfus New Jersey
Performance |
| Timeline |
| Dreyfus High Yield |
| Dreyfus New Jersey |
Dreyfus High and Dreyfus New Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dreyfus High and Dreyfus New
The main advantage of trading using opposite Dreyfus High and Dreyfus New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus High position performs unexpectedly, Dreyfus New 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 New will offset losses from the drop in Dreyfus New's long position.| Dreyfus High vs. Dreyfusstandish Global Fixed | Dreyfus High vs. Dreyfusstandish Global Fixed | Dreyfus High vs. Dreyfus New Jersey | Dreyfus High vs. Dreyfus International Bond |
| Dreyfus New vs. Dreyfusstandish Global Fixed | Dreyfus New vs. Dreyfusstandish Global Fixed | Dreyfus New vs. Dreyfus High Yield | Dreyfus New vs. Dreyfus High Yield |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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