Correlation Between Calvert Global and Nova Fund
Can any of the company-specific risk be diversified away by investing in both Calvert Global and Nova Fund 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 Global and Nova Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Global Energy and Nova Fund Class, you can compare the effects of market volatilities on Calvert Global and Nova Fund 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 Global with a short position of Nova Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Global and Nova Fund.
Diversification Opportunities for Calvert Global and Nova Fund
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Calvert and Nova is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Global Energy and Nova Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nova Fund Class and Calvert Global 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 Global Energy are associated (or correlated) with Nova Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nova Fund Class has no effect on the direction of Calvert Global i.e., Calvert Global and Nova Fund go up and down completely randomly.
Pair Corralation between Calvert Global and Nova Fund
Assuming the 90 days horizon Calvert Global Energy is expected to under-perform the Nova Fund. But the mutual fund apears to be less risky and, when comparing its historical volatility, Calvert Global Energy is 1.15 times less risky than Nova Fund. The mutual fund trades about -0.01 of its potential returns per unit of risk. The Nova Fund Class is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 12,325 in Nova Fund Class on September 12, 2024 and sell it today you would earn a total of 1,547 from holding Nova Fund Class or generate 12.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Global Energy vs. Nova Fund Class
Performance |
Timeline |
Calvert Global Energy |
Nova Fund Class |
Calvert Global and Nova Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Global and Nova Fund
The main advantage of trading using opposite Calvert Global and Nova Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Global position performs unexpectedly, Nova Fund 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 Nova Fund will offset losses from the drop in Nova Fund's long position.Calvert Global vs. Kinetics Small Cap | Calvert Global vs. Lebenthal Lisanti Small | Calvert Global vs. Vy Columbia Small | Calvert Global vs. Champlain Small |
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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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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