Correlation Between Calvert Moderate and Income Growth
Can any of the company-specific risk be diversified away by investing in both Calvert Moderate and Income Growth 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 Calvert Moderate and Income Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Moderate Allocation and Income Growth Fund, you can compare the effects of market volatilities on Calvert Moderate and Income Growth 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 Calvert Moderate with a short position of Income Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Moderate and Income Growth.
Diversification Opportunities for Calvert Moderate and Income Growth
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Calvert and Income is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Moderate Allocation and Income Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Growth and Calvert Moderate 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 Calvert Moderate Allocation are associated (or correlated) with Income Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Growth has no effect on the direction of Calvert Moderate i.e., Calvert Moderate and Income Growth go up and down completely randomly.
Pair Corralation between Calvert Moderate and Income Growth
Assuming the 90 days horizon Calvert Moderate is expected to generate 1.93 times less return on investment than Income Growth. But when comparing it to its historical volatility, Calvert Moderate Allocation is 1.34 times less risky than Income Growth. It trades about 0.04 of its potential returns per unit of risk. Income Growth Fund is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 3,072 in Income Growth Fund on October 13, 2024 and sell it today you would earn a total of 607.00 from holding Income Growth Fund or generate 19.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Moderate Allocation vs. Income Growth Fund
Performance |
Timeline |
Calvert Moderate All |
Income Growth |
Calvert Moderate and Income Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Moderate and Income Growth
The main advantage of trading using opposite Calvert Moderate and Income Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Moderate position performs unexpectedly, Income Growth 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 Income Growth will offset losses from the drop in Income Growth's long position.Calvert Moderate vs. Nuveen Strategic Municipal | Calvert Moderate vs. Franklin Adjustable Government | Calvert Moderate vs. Alpine Ultra Short | Calvert Moderate vs. Blackrock Pa Muni |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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