Correlation Between Calvert Bond and Energy Fund
Can any of the company-specific risk be diversified away by investing in both Calvert Bond and Energy 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 Bond and Energy Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Bond Portfolio and Energy Fund Class, you can compare the effects of market volatilities on Calvert Bond and Energy 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 Bond with a short position of Energy Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Bond and Energy Fund.
Diversification Opportunities for Calvert Bond and Energy Fund
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Calvert and Energy is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Bond Portfolio and Energy Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Fund Class and Calvert Bond 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 Bond Portfolio are associated (or correlated) with Energy Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Fund Class has no effect on the direction of Calvert Bond i.e., Calvert Bond and Energy Fund go up and down completely randomly.
Pair Corralation between Calvert Bond and Energy Fund
Assuming the 90 days horizon Calvert Bond is expected to generate 6.24 times less return on investment than Energy Fund. But when comparing it to its historical volatility, Calvert Bond Portfolio is 3.96 times less risky than Energy Fund. It trades about 0.08 of its potential returns per unit of risk. Energy Fund Class is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 16,717 in Energy Fund Class on May 5, 2025 and sell it today you would earn a total of 1,548 from holding Energy Fund Class or generate 9.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Bond Portfolio vs. Energy Fund Class
Performance |
Timeline |
Calvert Bond Portfolio |
Energy Fund Class |
Calvert Bond and Energy Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Bond and Energy Fund
The main advantage of trading using opposite Calvert Bond and Energy Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Bond position performs unexpectedly, Energy 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 Energy Fund will offset losses from the drop in Energy Fund's long position.Calvert Bond vs. Barings Global Floating | Calvert Bond vs. Tfa Alphagen Growth | Calvert Bond vs. Qs Global Equity | Calvert Bond vs. Qs Moderate Growth |
Energy Fund vs. Morningstar Growth Etf | Energy Fund vs. Eagle Growth Income | Energy Fund vs. T Rowe Price | Energy Fund vs. Upright Growth Income |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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