Correlation Between American Balanced and Barings Global
Can any of the company-specific risk be diversified away by investing in both American Balanced 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 American Balanced and Barings Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Balanced Fund and Barings Global Floating, you can compare the effects of market volatilities on American Balanced 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 American Balanced with a short position of Barings Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Balanced and Barings Global.
Diversification Opportunities for American Balanced and Barings Global
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and Barings is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding American Balanced 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 American Balanced 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 American Balanced 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 American Balanced i.e., American Balanced and Barings Global go up and down completely randomly.
Pair Corralation between American Balanced and Barings Global
Assuming the 90 days horizon American Balanced Fund is expected to generate 2.91 times more return on investment than Barings Global. However, American Balanced is 2.91 times more volatile than Barings Global Floating. It trades about 0.12 of its potential returns per unit of risk. Barings Global Floating is currently generating about 0.25 per unit of risk. If you would invest 3,583 in American Balanced Fund on September 13, 2024 and sell it today you would earn a total of 111.00 from holding American Balanced Fund or generate 3.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
American Balanced Fund vs. Barings Global Floating
Performance |
Timeline |
American Balanced |
Barings Global Floating |
American Balanced and Barings Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Balanced and Barings Global
The main advantage of trading using opposite American Balanced and Barings Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Balanced 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.American Balanced vs. American Funds Growth | American Balanced vs. American Funds Income | American Balanced vs. American Funds Global | American Balanced vs. American Funds Growth |
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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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