Correlation Between Baillie Gifford and Federated Premier
Can any of the company-specific risk be diversified away by investing in both Baillie Gifford and Federated Premier 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 Baillie Gifford and Federated Premier into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baillie Gifford China and Federated Premier Municipal, you can compare the effects of market volatilities on Baillie Gifford and Federated Premier 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 Baillie Gifford with a short position of Federated Premier. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baillie Gifford and Federated Premier.
Diversification Opportunities for Baillie Gifford and Federated Premier
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Baillie and Federated is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Baillie Gifford China and Federated Premier Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Premier and Baillie Gifford 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 Baillie Gifford China are associated (or correlated) with Federated Premier. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Premier has no effect on the direction of Baillie Gifford i.e., Baillie Gifford and Federated Premier go up and down completely randomly.
Pair Corralation between Baillie Gifford and Federated Premier
Assuming the 90 days horizon Baillie Gifford China is expected to generate 3.36 times more return on investment than Federated Premier. However, Baillie Gifford is 3.36 times more volatile than Federated Premier Municipal. It trades about 0.07 of its potential returns per unit of risk. Federated Premier Municipal is currently generating about -0.26 per unit of risk. If you would invest 842.00 in Baillie Gifford China on September 27, 2024 and sell it today you would earn a total of 60.00 from holding Baillie Gifford China or generate 7.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 76.56% |
Values | Daily Returns |
Baillie Gifford China vs. Federated Premier Municipal
Performance |
Timeline |
Baillie Gifford China |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Modest
Federated Premier |
Baillie Gifford and Federated Premier Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baillie Gifford and Federated Premier
The main advantage of trading using opposite Baillie Gifford and Federated Premier positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baillie Gifford position performs unexpectedly, Federated Premier 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 Premier will offset losses from the drop in Federated Premier's long position.Baillie Gifford vs. The Eafe Pure | Baillie Gifford vs. The Long Term | Baillie Gifford vs. Baillie Gifford International | Baillie Gifford vs. Baillie Gifford 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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