Correlation Between Advent Claymore and John Hancock
Can any of the company-specific risk be diversified away by investing in both Advent Claymore and John Hancock 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 Advent Claymore and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Advent Claymore Convertible and John Hancock Income, you can compare the effects of market volatilities on Advent Claymore and John Hancock 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 Advent Claymore with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Advent Claymore and John Hancock.
Diversification Opportunities for Advent Claymore and John Hancock
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Advent and John is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Advent Claymore Convertible and John Hancock Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Income and Advent Claymore 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 Advent Claymore Convertible are associated (or correlated) with John Hancock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of John Hancock Income has no effect on the direction of Advent Claymore i.e., Advent Claymore and John Hancock go up and down completely randomly.
Pair Corralation between Advent Claymore and John Hancock
Considering the 90-day investment horizon Advent Claymore Convertible is expected to generate 4.35 times more return on investment than John Hancock. However, Advent Claymore is 4.35 times more volatile than John Hancock Income. It trades about 0.53 of its potential returns per unit of risk. John Hancock Income is currently generating about 0.31 per unit of risk. If you would invest 1,174 in Advent Claymore Convertible on September 13, 2024 and sell it today you would earn a total of 76.00 from holding Advent Claymore Convertible or generate 6.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Advent Claymore Convertible vs. John Hancock Income
Performance |
| Timeline |
| Advent Claymore Conv |
| John Hancock Income |
Advent Claymore and John Hancock Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Advent Claymore and John Hancock
The main advantage of trading using opposite Advent Claymore and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Advent Claymore position performs unexpectedly, John Hancock 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 John Hancock will offset losses from the drop in John Hancock's long position.| Advent Claymore vs. Nuveen Global High | Advent Claymore vs. Blackstone Gso Strategic | Advent Claymore vs. Thornburg Income Builder | Advent Claymore vs. Western Asset Diversified |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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