Correlation Between Dow Jones and Dreyfus Municipal
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Dreyfus Municipal 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 Dow Jones and Dreyfus Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Dreyfus Municipal Bond, you can compare the effects of market volatilities on Dow Jones and Dreyfus Municipal 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 Dow Jones with a short position of Dreyfus Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Dreyfus Municipal.
Diversification Opportunities for Dow Jones and Dreyfus Municipal
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dow and Dreyfus is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Dreyfus Municipal Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Municipal Bond and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Dreyfus Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Municipal Bond has no effect on the direction of Dow Jones i.e., Dow Jones and Dreyfus Municipal go up and down completely randomly.
Pair Corralation between Dow Jones and Dreyfus Municipal
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 3.54 times more return on investment than Dreyfus Municipal. However, Dow Jones is 3.54 times more volatile than Dreyfus Municipal Bond. It trades about 0.08 of its potential returns per unit of risk. Dreyfus Municipal Bond is currently generating about 0.09 per unit of risk. If you would invest 3,326,977 in Dow Jones Industrial on September 25, 2024 and sell it today you would earn a total of 1,002,726 from holding Dow Jones Industrial or generate 30.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 27.97% |
Values | Daily Returns |
Dow Jones Industrial vs. Dreyfus Municipal Bond
Performance |
Timeline |
Dow Jones and Dreyfus Municipal Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Dreyfus Municipal Bond
Pair trading matchups for Dreyfus Municipal
Pair Trading with Dow Jones and Dreyfus Municipal
The main advantage of trading using opposite Dow Jones and Dreyfus Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Dreyfus Municipal 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 Municipal will offset losses from the drop in Dreyfus Municipal's long position.Dow Jones vs. Aerofoam Metals | Dow Jones vs. Lion One Metals | Dow Jones vs. Blue Moon Metals | Dow Jones vs. Xunlei Ltd Adr |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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