Correlation Between Calvert Bond and Power Dividend
Can any of the company-specific risk be diversified away by investing in both Calvert Bond and Power Dividend 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 Power Dividend 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 Power Dividend Index, you can compare the effects of market volatilities on Calvert Bond and Power Dividend 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 Power Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Bond and Power Dividend.
Diversification Opportunities for Calvert Bond and Power Dividend
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Calvert and Power is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Bond Portfolio and Power Dividend Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Dividend Index 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 Power Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Dividend Index has no effect on the direction of Calvert Bond i.e., Calvert Bond and Power Dividend go up and down completely randomly.
Pair Corralation between Calvert Bond and Power Dividend
Assuming the 90 days horizon Calvert Bond is expected to generate 1.95 times less return on investment than Power Dividend. But when comparing it to its historical volatility, Calvert Bond Portfolio is 2.66 times less risky than Power Dividend. It trades about 0.16 of its potential returns per unit of risk. Power Dividend Index is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 943.00 in Power Dividend Index on May 10, 2025 and sell it today you would earn a total of 50.00 from holding Power Dividend Index or generate 5.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Bond Portfolio vs. Power Dividend Index
Performance |
Timeline |
Calvert Bond Portfolio |
Power Dividend Index |
Calvert Bond and Power Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Bond and Power Dividend
The main advantage of trading using opposite Calvert Bond and Power Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Bond position performs unexpectedly, Power Dividend 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 Power Dividend will offset losses from the drop in Power Dividend's long position.Calvert Bond vs. Janus High Yield Fund | Calvert Bond vs. Buffalo High Yield | Calvert Bond vs. Jpmorgan High Yield | Calvert Bond vs. Dunham High Yield |
Power Dividend vs. Astonherndon Large Cap | Power Dividend vs. Prudential Qma Large Cap | Power Dividend vs. Qs Large Cap | Power Dividend vs. Fidelity Large Cap |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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