Correlation Between Advent Claymore and Ubs Allocation
Can any of the company-specific risk be diversified away by investing in both Advent Claymore and Ubs Allocation 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 Ubs Allocation 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 Ubs Allocation Fund, you can compare the effects of market volatilities on Advent Claymore and Ubs Allocation 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 Ubs Allocation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Advent Claymore and Ubs Allocation.
Diversification Opportunities for Advent Claymore and Ubs Allocation
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Advent and Ubs is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Advent Claymore Convertible and Ubs Allocation Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ubs Allocation 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 Ubs Allocation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ubs Allocation has no effect on the direction of Advent Claymore i.e., Advent Claymore and Ubs Allocation go up and down completely randomly.
Pair Corralation between Advent Claymore and Ubs Allocation
Considering the 90-day investment horizon Advent Claymore Convertible is expected to generate 0.73 times more return on investment than Ubs Allocation. However, Advent Claymore Convertible is 1.36 times less risky than Ubs Allocation. It trades about 0.14 of its potential returns per unit of risk. Ubs Allocation Fund is currently generating about -0.07 per unit of risk. If you would invest 1,111 in Advent Claymore Convertible on September 27, 2024 and sell it today you would earn a total of 84.00 from holding Advent Claymore Convertible or generate 7.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Advent Claymore Convertible vs. Ubs Allocation Fund
Performance |
Timeline |
Advent Claymore Conv |
Ubs Allocation |
Advent Claymore and Ubs Allocation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Advent Claymore and Ubs Allocation
The main advantage of trading using opposite Advent Claymore and Ubs Allocation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Advent Claymore position performs unexpectedly, Ubs Allocation 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 Ubs Allocation will offset losses from the drop in Ubs Allocation's long position.Advent Claymore vs. Calamos Global Dynamic | Advent Claymore vs. Calamos Strategic Total | Advent Claymore vs. Calamos LongShort Equity | Advent Claymore vs. Eaton Vance Tax |
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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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