Correlation Between Federated Mdt and Federated Kaufmann
Can any of the company-specific risk be diversified away by investing in both Federated Mdt and Federated Kaufmann 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 Federated Kaufmann into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Mdt Large and Federated Kaufmann Fund, you can compare the effects of market volatilities on Federated Mdt and Federated Kaufmann 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 Federated Kaufmann. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Mdt and Federated Kaufmann.
Diversification Opportunities for Federated Mdt and Federated Kaufmann
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Federated and Federated is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Federated Mdt Large and Federated Kaufmann Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Kaufmann 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 Large are associated (or correlated) with Federated Kaufmann. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Kaufmann has no effect on the direction of Federated Mdt i.e., Federated Mdt and Federated Kaufmann go up and down completely randomly.
Pair Corralation between Federated Mdt and Federated Kaufmann
Assuming the 90 days horizon Federated Mdt Large is expected to generate 0.79 times more return on investment than Federated Kaufmann. However, Federated Mdt Large is 1.27 times less risky than Federated Kaufmann. It trades about -0.3 of its potential returns per unit of risk. Federated Kaufmann Fund is currently generating about -0.24 per unit of risk. If you would invest 3,756 in Federated Mdt Large on September 26, 2024 and sell it today you would lose (626.00) from holding Federated Mdt Large or give up 16.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Mdt Large vs. Federated Kaufmann Fund
Performance |
Timeline |
Federated Mdt Large |
Federated Kaufmann |
Federated Mdt and Federated Kaufmann Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Mdt and Federated Kaufmann
The main advantage of trading using opposite Federated Mdt and Federated Kaufmann positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Mdt position performs unexpectedly, Federated Kaufmann 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 Kaufmann will offset losses from the drop in Federated Kaufmann's long position.Federated Mdt vs. Federated Max Cap Index | Federated Mdt vs. Federated Mdt Mid Cap | Federated Mdt vs. Federated Max Cap Index | Federated Mdt vs. Federated Global Allocation |
Federated Kaufmann vs. Federated Emerging Market | Federated Kaufmann vs. Federated Mdt All | Federated Kaufmann vs. Federated Mdt Balanced | Federated Kaufmann vs. Federated Global Allocation |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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