Correlation Between Federated Mdt and Advent Claymore
Can any of the company-specific risk be diversified away by investing in both Federated Mdt and Advent Claymore 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 Federated Mdt and Advent Claymore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Mdt Small and Advent Claymore Convertible, you can compare the effects of market volatilities on Federated Mdt and Advent Claymore 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 Federated Mdt with a short position of Advent Claymore. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Mdt and Advent Claymore.
Diversification Opportunities for Federated Mdt and Advent Claymore
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between FEDERATED and Advent is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Federated Mdt Small and Advent Claymore Convertible in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Advent Claymore Conv and Federated Mdt 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 Federated Mdt Small are associated (or correlated) with Advent Claymore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Advent Claymore Conv has no effect on the direction of Federated Mdt i.e., Federated Mdt and Advent Claymore go up and down completely randomly.
Pair Corralation between Federated Mdt and Advent Claymore
Assuming the 90 days horizon Federated Mdt Small is expected to generate 1.76 times more return on investment than Advent Claymore. However, Federated Mdt is 1.76 times more volatile than Advent Claymore Convertible. It trades about 0.13 of its potential returns per unit of risk. Advent Claymore Convertible is currently generating about 0.16 per unit of risk. If you would invest 2,404 in Federated Mdt Small on May 6, 2025 and sell it today you would earn a total of 219.00 from holding Federated Mdt Small or generate 9.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Mdt Small vs. Advent Claymore Convertible
Performance |
Timeline |
Federated Mdt Small |
Advent Claymore Conv |
Federated Mdt and Advent Claymore Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Mdt and Advent Claymore
The main advantage of trading using opposite Federated Mdt and Advent Claymore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Mdt position performs unexpectedly, Advent Claymore 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 Advent Claymore will offset losses from the drop in Advent Claymore's long position.Federated Mdt vs. Federated Mdt Small | Federated Mdt vs. Federated Mdt Small | Federated Mdt vs. Federated Mdt Large | Federated Mdt vs. Blackrock Mid Cap |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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