Correlation Between Maryland Tax-free and Baron Focused
Can any of the company-specific risk be diversified away by investing in both Maryland Tax-free and Baron Focused 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-free and Baron Focused 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 Baron Focused Growth, you can compare the effects of market volatilities on Maryland Tax-free and Baron Focused 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-free with a short position of Baron Focused. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maryland Tax-free and Baron Focused.
Diversification Opportunities for Maryland Tax-free and Baron Focused
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Maryland and Baron is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Maryland Tax Free Bond and Baron Focused Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baron Focused Growth and Maryland Tax-free 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 Baron Focused. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baron Focused Growth has no effect on the direction of Maryland Tax-free i.e., Maryland Tax-free and Baron Focused go up and down completely randomly.
Pair Corralation between Maryland Tax-free and Baron Focused
Assuming the 90 days horizon Maryland Tax Free Bond is expected to generate 0.19 times more return on investment than Baron Focused. However, Maryland Tax Free Bond is 5.34 times less risky than Baron Focused. It trades about 0.05 of its potential returns per unit of risk. Baron Focused Growth is currently generating about -0.14 per unit of risk. If you would invest 996.00 in Maryland Tax Free Bond on December 21, 2024 and sell it today you would earn a total of 6.00 from holding Maryland Tax Free Bond or generate 0.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maryland Tax Free Bond vs. Baron Focused Growth
Performance |
Timeline |
Maryland Tax Free |
Baron Focused Growth |
Maryland Tax-free and Baron Focused Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maryland Tax-free and Baron Focused
The main advantage of trading using opposite Maryland Tax-free and Baron Focused positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maryland Tax-free position performs unexpectedly, Baron Focused 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 Baron Focused will offset losses from the drop in Baron Focused's long position.Maryland Tax-free vs. Touchstone International Equity | Maryland Tax-free vs. Nationwide Highmark Short | Maryland Tax-free vs. Rbc China Equity | Maryland Tax-free vs. Tax Managed International Equity |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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