Correlation Between Dow Jones and Guggenheim Municipal
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Guggenheim 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 Guggenheim 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 Guggenheim Municipal Income, you can compare the effects of market volatilities on Dow Jones and Guggenheim 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 Guggenheim Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Guggenheim Municipal.
Diversification Opportunities for Dow Jones and Guggenheim Municipal
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Guggenheim is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Guggenheim Municipal Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Municipal 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 Guggenheim Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Municipal has no effect on the direction of Dow Jones i.e., Dow Jones and Guggenheim Municipal go up and down completely randomly.
Pair Corralation between Dow Jones and Guggenheim Municipal
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Guggenheim Municipal. In addition to that, Dow Jones is 2.54 times more volatile than Guggenheim Municipal Income. It trades about -0.08 of its total potential returns per unit of risk. Guggenheim Municipal Income is currently generating about 0.06 per unit of volatility. If you would invest 1,131 in Guggenheim Municipal Income on October 8, 2024 and sell it today you would earn a total of 7.00 from holding Guggenheim Municipal Income or generate 0.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 97.56% |
Values | Daily Returns |
Dow Jones Industrial vs. Guggenheim Municipal Income
Performance |
Timeline |
Dow Jones and Guggenheim Municipal Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Guggenheim Municipal Income
Pair trading matchups for Guggenheim Municipal
Pair Trading with Dow Jones and Guggenheim Municipal
The main advantage of trading using opposite Dow Jones and Guggenheim Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Guggenheim 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 Guggenheim Municipal will offset losses from the drop in Guggenheim Municipal's long position.Dow Jones vs. Apogee Therapeutics, Common | Dow Jones vs. Spyre Therapeutics | Dow Jones vs. Lion One Metals | Dow Jones vs. Vulcan Materials |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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