Correlation Between Maryland Tax and Calamos Convertible
Can any of the company-specific risk be diversified away by investing in both Maryland Tax and Calamos Convertible 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 Maryland Tax and Calamos Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Maryland Tax Free Bond and Calamos Vertible Fund, you can compare the effects of market volatilities on Maryland Tax and Calamos Convertible 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 Maryland Tax with a short position of Calamos Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maryland Tax and Calamos Convertible.
Diversification Opportunities for Maryland Tax and Calamos Convertible
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Maryland and Calamos is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Maryland Tax Free Bond and Calamos Vertible Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Convertible and Maryland Tax 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 Maryland Tax Free Bond are associated (or correlated) with Calamos Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Convertible has no effect on the direction of Maryland Tax i.e., Maryland Tax and Calamos Convertible go up and down completely randomly.
Pair Corralation between Maryland Tax and Calamos Convertible
Assuming the 90 days horizon Maryland Tax Free Bond is expected to generate 0.35 times more return on investment than Calamos Convertible. However, Maryland Tax Free Bond is 2.84 times less risky than Calamos Convertible. It trades about -0.03 of its potential returns per unit of risk. Calamos Vertible Fund is currently generating about -0.1 per unit of risk. If you would invest 1,020 in Maryland Tax Free Bond on December 2, 2024 and sell it today you would lose (5.00) from holding Maryland Tax Free Bond or give up 0.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Maryland Tax Free Bond vs. Calamos Vertible Fund
Performance |
Timeline |
Maryland Tax Free |
Calamos Convertible |
Maryland Tax and Calamos Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maryland Tax and Calamos Convertible
The main advantage of trading using opposite Maryland Tax and Calamos Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maryland Tax position performs unexpectedly, Calamos Convertible 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 Calamos Convertible will offset losses from the drop in Calamos Convertible's long position.Maryland Tax vs. Transamerica Funds | Maryland Tax vs. John Hancock Money | Maryland Tax vs. Wilmington Funds | Maryland Tax vs. Aig Government Money |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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