Correlation Between Federated Kaufmann and Federated Mdt
Can any of the company-specific risk be diversified away by investing in both Federated Kaufmann and Federated Mdt 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 Kaufmann and Federated Mdt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Kaufmann Fund and Federated Mdt All, you can compare the effects of market volatilities on Federated Kaufmann and Federated Mdt 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 Kaufmann with a short position of Federated Mdt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Kaufmann and Federated Mdt.
Diversification Opportunities for Federated Kaufmann and Federated Mdt
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Federated and Federated is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Federated Kaufmann Fund and Federated Mdt All in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Mdt All and Federated Kaufmann 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 Kaufmann Fund are associated (or correlated) with Federated Mdt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Mdt All has no effect on the direction of Federated Kaufmann i.e., Federated Kaufmann and Federated Mdt go up and down completely randomly.
Pair Corralation between Federated Kaufmann and Federated Mdt
Assuming the 90 days horizon Federated Kaufmann is expected to generate 2.55 times less return on investment than Federated Mdt. In addition to that, Federated Kaufmann is 1.28 times more volatile than Federated Mdt All. It trades about 0.03 of its total potential returns per unit of risk. Federated Mdt All is currently generating about 0.09 per unit of volatility. If you would invest 3,037 in Federated Mdt All on September 26, 2024 and sell it today you would earn a total of 1,547 from holding Federated Mdt All or generate 50.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Federated Kaufmann Fund vs. Federated Mdt All
Performance |
Timeline |
Federated Kaufmann |
Federated Mdt All |
Federated Kaufmann and Federated Mdt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Kaufmann and Federated Mdt
The main advantage of trading using opposite Federated Kaufmann and Federated Mdt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Kaufmann position performs unexpectedly, Federated Mdt 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 Federated Mdt will offset losses from the drop in Federated Mdt's long position.Federated Kaufmann vs. Federated Emerging Market | Federated Kaufmann vs. Federated Mdt All | Federated Kaufmann vs. Federated Mdt Balanced | Federated Kaufmann vs. Federated Global Allocation |
Federated Mdt vs. Federated Emerging Market | Federated Mdt vs. Federated Mdt Balanced | Federated Mdt vs. Federated Global Allocation | Federated Mdt vs. Federated Hermes Emerging |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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