Correlation Between Floating Rate and Barings Global
Can any of the company-specific risk be diversified away by investing in both Floating Rate and Barings Global 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 Floating Rate and Barings Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Floating Rate Fund and Barings Global Floating, you can compare the effects of market volatilities on Floating Rate and Barings Global 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 Floating Rate with a short position of Barings Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Floating Rate and Barings Global.
Diversification Opportunities for Floating Rate and Barings Global
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Floating and Barings is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Floating Rate Fund and Barings Global Floating in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barings Global Floating and Floating Rate 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 Floating Rate Fund are associated (or correlated) with Barings Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barings Global Floating has no effect on the direction of Floating Rate i.e., Floating Rate and Barings Global go up and down completely randomly.
Pair Corralation between Floating Rate and Barings Global
Assuming the 90 days horizon Floating Rate Fund is expected to generate 1.03 times more return on investment than Barings Global. However, Floating Rate is 1.03 times more volatile than Barings Global Floating. It trades about 0.22 of its potential returns per unit of risk. Barings Global Floating is currently generating about 0.2 per unit of risk. If you would invest 804.00 in Floating Rate Fund on September 3, 2024 and sell it today you would earn a total of 15.00 from holding Floating Rate Fund or generate 1.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Floating Rate Fund vs. Barings Global Floating
Performance |
Timeline |
Floating Rate |
Barings Global Floating |
Floating Rate and Barings Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Floating Rate and Barings Global
The main advantage of trading using opposite Floating Rate and Barings Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Floating Rate position performs unexpectedly, Barings Global 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 Barings Global will offset losses from the drop in Barings Global's long position.Floating Rate vs. Angel Oak Multi Strategy | Floating Rate vs. Jpmorgan Emerging Markets | Floating Rate vs. Black Oak Emerging | Floating Rate vs. T Rowe Price |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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