Correlation Between Federated Mdt and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Federated Mdt and Loomis Sayles 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 Loomis Sayles 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 Loomis Sayles Growth, you can compare the effects of market volatilities on Federated Mdt and Loomis Sayles 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 Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Mdt and Loomis Sayles.
Diversification Opportunities for Federated Mdt and Loomis Sayles
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Federated and Loomis is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Federated Mdt Small and Loomis Sayles Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Growth 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 Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Growth has no effect on the direction of Federated Mdt i.e., Federated Mdt and Loomis Sayles go up and down completely randomly.
Pair Corralation between Federated Mdt and Loomis Sayles
Assuming the 90 days horizon Federated Mdt Small is expected to under-perform the Loomis Sayles. But the mutual fund apears to be less risky and, when comparing its historical volatility, Federated Mdt Small is 1.05 times less risky than Loomis Sayles. The mutual fund trades about -0.12 of its potential returns per unit of risk. The Loomis Sayles Growth is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 2,980 in Loomis Sayles Growth on December 30, 2024 and sell it today you would lose (291.00) from holding Loomis Sayles Growth or give up 9.77% 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 Small vs. Loomis Sayles Growth
Performance |
Timeline |
Federated Mdt Small |
Loomis Sayles Growth |
Federated Mdt and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Mdt and Loomis Sayles
The main advantage of trading using opposite Federated Mdt and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Mdt position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Federated Mdt vs. Touchstone Mid Cap | Federated Mdt vs. Virtus Kar Small Cap | Federated Mdt vs. Mid Cap Growth | Federated Mdt vs. Harding Loevner International |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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