Correlation Between Dreyfus New and Dreyfus Intermediate
Can any of the company-specific risk be diversified away by investing in both Dreyfus New and Dreyfus Intermediate 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 New and Dreyfus Intermediate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus New Jersey and Dreyfus Intermediate Municipal, you can compare the effects of market volatilities on Dreyfus New and Dreyfus Intermediate 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 New with a short position of Dreyfus Intermediate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus New and Dreyfus Intermediate.
Diversification Opportunities for Dreyfus New and Dreyfus Intermediate
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dreyfus and Dreyfus is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus New Jersey and Dreyfus Intermediate Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Intermediate and Dreyfus New 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 New Jersey are associated (or correlated) with Dreyfus Intermediate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Intermediate has no effect on the direction of Dreyfus New i.e., Dreyfus New and Dreyfus Intermediate go up and down completely randomly.
Pair Corralation between Dreyfus New and Dreyfus Intermediate
Assuming the 90 days horizon Dreyfus New Jersey is expected to generate 1.39 times more return on investment than Dreyfus Intermediate. However, Dreyfus New is 1.39 times more volatile than Dreyfus Intermediate Municipal. It trades about 0.21 of its potential returns per unit of risk. Dreyfus Intermediate Municipal is currently generating about 0.2 per unit of risk. If you would invest 1,178 in Dreyfus New Jersey on September 1, 2024 and sell it today you would earn a total of 17.00 from holding Dreyfus New Jersey or generate 1.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Dreyfus New Jersey vs. Dreyfus Intermediate Municipal
Performance |
Timeline |
Dreyfus New Jersey |
Dreyfus Intermediate |
Dreyfus New and Dreyfus Intermediate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dreyfus New and Dreyfus Intermediate
The main advantage of trading using opposite Dreyfus New and Dreyfus Intermediate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus New position performs unexpectedly, Dreyfus Intermediate 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 Intermediate will offset losses from the drop in Dreyfus Intermediate's long position.Dreyfus New vs. Dreyfusstandish Global Fixed | Dreyfus New vs. Dreyfusstandish Global Fixed | Dreyfus New vs. Dreyfus High Yield | Dreyfus New vs. Dreyfus High Yield |
Dreyfus Intermediate vs. Dreyfus Short Intermediate | Dreyfus Intermediate vs. Dreyfus Gnma Fund | Dreyfus Intermediate vs. Fidelity Municipal Income | Dreyfus Intermediate vs. Aquagold International |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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