Correlation Between Calvert High and Kensington Dynamic
Can any of the company-specific risk be diversified away by investing in both Calvert High and Kensington Dynamic 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 High and Kensington Dynamic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert High Yield and Kensington Dynamic Growth, you can compare the effects of market volatilities on Calvert High and Kensington Dynamic 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 High with a short position of Kensington Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert High and Kensington Dynamic.
Diversification Opportunities for Calvert High and Kensington Dynamic
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Calvert and Kensington is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Calvert High Yield and Kensington Dynamic Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kensington Dynamic Growth and Calvert 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 Calvert High Yield are associated (or correlated) with Kensington Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kensington Dynamic Growth has no effect on the direction of Calvert High i.e., Calvert High and Kensington Dynamic go up and down completely randomly.
Pair Corralation between Calvert High and Kensington Dynamic
Assuming the 90 days horizon Calvert High Yield is expected to generate 0.31 times more return on investment than Kensington Dynamic. However, Calvert High Yield is 3.19 times less risky than Kensington Dynamic. It trades about 0.11 of its potential returns per unit of risk. Kensington Dynamic Growth is currently generating about 0.03 per unit of risk. If you would invest 2,176 in Calvert High Yield on October 4, 2024 and sell it today you would earn a total of 300.00 from holding Calvert High Yield or generate 13.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert High Yield vs. Kensington Dynamic Growth
Performance |
Timeline |
Calvert High Yield |
Kensington Dynamic Growth |
Calvert High and Kensington Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert High and Kensington Dynamic
The main advantage of trading using opposite Calvert High and Kensington Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert High position performs unexpectedly, Kensington Dynamic 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 Kensington Dynamic will offset losses from the drop in Kensington Dynamic's long position.Calvert High vs. Franklin Lifesmart Retirement | Calvert High vs. Tiaa Cref Lifecycle Retirement | Calvert High vs. Calvert Moderate Allocation | Calvert High vs. Dimensional Retirement Income |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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