Correlation Between Guggenheim High and Maryland Tax-free
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Maryland Tax-free 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 Guggenheim High and Maryland Tax-free into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Maryland Tax Free Bond, you can compare the effects of market volatilities on Guggenheim High and Maryland Tax-free 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 Guggenheim High with a short position of Maryland Tax-free. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Maryland Tax-free.
Diversification Opportunities for Guggenheim High and Maryland Tax-free
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GUGGENHEIM and Maryland is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Maryland Tax Free Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maryland Tax Free and Guggenheim 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 Guggenheim High Yield are associated (or correlated) with Maryland Tax-free. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maryland Tax Free has no effect on the direction of Guggenheim High i.e., Guggenheim High and Maryland Tax-free go up and down completely randomly.
Pair Corralation between Guggenheim High and Maryland Tax-free
Assuming the 90 days horizon Guggenheim High Yield is expected to generate 0.96 times more return on investment than Maryland Tax-free. However, Guggenheim High Yield is 1.04 times less risky than Maryland Tax-free. It trades about 0.18 of its potential returns per unit of risk. Maryland Tax Free Bond is currently generating about 0.07 per unit of risk. If you would invest 732.00 in Guggenheim High Yield on October 3, 2024 and sell it today you would earn a total of 78.00 from holding Guggenheim High Yield or generate 10.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim High Yield vs. Maryland Tax Free Bond
Performance |
Timeline |
Guggenheim High Yield |
Maryland Tax Free |
Guggenheim High and Maryland Tax-free Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Maryland Tax-free
The main advantage of trading using opposite Guggenheim High and Maryland Tax-free positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Maryland Tax-free 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 Maryland Tax-free will offset losses from the drop in Maryland Tax-free's long position.Guggenheim High vs. John Hancock Financial | Guggenheim High vs. Transamerica Financial Life | Guggenheim High vs. Fidelity Advisor Financial | Guggenheim High vs. Davis Financial Fund |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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