Correlation Between Calvert Income and Vanguard Windsor
Can any of the company-specific risk be diversified away by investing in both Calvert Income and Vanguard Windsor 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 Income and Vanguard Windsor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Income Fund and Vanguard Windsor Fund, you can compare the effects of market volatilities on Calvert Income and Vanguard Windsor 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 Income with a short position of Vanguard Windsor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Income and Vanguard Windsor.
Diversification Opportunities for Calvert Income and Vanguard Windsor
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Calvert and Vanguard is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Income Fund and Vanguard Windsor Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Windsor and Calvert Income 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 Income Fund are associated (or correlated) with Vanguard Windsor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Windsor has no effect on the direction of Calvert Income i.e., Calvert Income and Vanguard Windsor go up and down completely randomly.
Pair Corralation between Calvert Income and Vanguard Windsor
Assuming the 90 days horizon Calvert Income Fund is expected to generate 0.33 times more return on investment than Vanguard Windsor. However, Calvert Income Fund is 3.05 times less risky than Vanguard Windsor. It trades about 0.15 of its potential returns per unit of risk. Vanguard Windsor Fund is currently generating about -0.01 per unit of risk. If you would invest 1,472 in Calvert Income Fund on December 30, 2024 and sell it today you would earn a total of 33.00 from holding Calvert Income Fund or generate 2.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 91.94% |
Values | Daily Returns |
Calvert Income Fund vs. Vanguard Windsor Fund
Performance |
Timeline |
Calvert Income |
Vanguard Windsor |
Calvert Income and Vanguard Windsor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Income and Vanguard Windsor
The main advantage of trading using opposite Calvert Income and Vanguard Windsor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Income position performs unexpectedly, Vanguard Windsor 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 Vanguard Windsor will offset losses from the drop in Vanguard Windsor's long position.Calvert Income vs. Pace International Emerging | Calvert Income vs. Inverse Nasdaq 100 Strategy | Calvert Income vs. Fidelity Series Emerging | Calvert Income vs. Johcm Emerging Markets |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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