Correlation Between Penn National and Guggenheim Municipal
Can any of the company-specific risk be diversified away by investing in both Penn National 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 Penn National and Guggenheim Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penn National Gaming and Guggenheim Municipal Income, you can compare the effects of market volatilities on Penn National 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 Penn National with a short position of Guggenheim Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and Guggenheim Municipal.
Diversification Opportunities for Penn National and Guggenheim Municipal
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Penn and Guggenheim is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and Guggenheim Municipal Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Municipal and Penn National 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 Penn National Gaming 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 Penn National i.e., Penn National and Guggenheim Municipal go up and down completely randomly.
Pair Corralation between Penn National and Guggenheim Municipal
Given the investment horizon of 90 days Penn National Gaming is expected to under-perform the Guggenheim Municipal. In addition to that, Penn National is 12.27 times more volatile than Guggenheim Municipal Income. It trades about -0.01 of its total potential returns per unit of risk. Guggenheim Municipal Income is currently generating about 0.04 per unit of volatility. If you would invest 1,125 in Guggenheim Municipal Income on December 22, 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 | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. Guggenheim Municipal Income
Performance |
Timeline |
Penn National Gaming |
Guggenheim Municipal |
Penn National and Guggenheim Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and Guggenheim Municipal
The main advantage of trading using opposite Penn National and Guggenheim Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National 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.Penn National vs. DraftKings | Penn National vs. MGM Resorts International | Penn National vs. Caesars Entertainment | Penn National vs. Boyd Gaming |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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