Correlation Between Global Bond and Aggressive Allocation
Can any of the company-specific risk be diversified away by investing in both Global Bond and Aggressive Allocation 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 Global Bond and Aggressive Allocation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Bond Fund and Aggressive Allocation Fund, you can compare the effects of market volatilities on Global Bond and Aggressive Allocation 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 Global Bond with a short position of Aggressive Allocation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Bond and Aggressive Allocation.
Diversification Opportunities for Global Bond and Aggressive Allocation
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Global and Aggressive is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Global Bond Fund and Aggressive Allocation Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aggressive Allocation and Global Bond 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 Global Bond Fund are associated (or correlated) with Aggressive Allocation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aggressive Allocation has no effect on the direction of Global Bond i.e., Global Bond and Aggressive Allocation go up and down completely randomly.
Pair Corralation between Global Bond and Aggressive Allocation
Assuming the 90 days horizon Global Bond Fund is expected to generate 0.26 times more return on investment than Aggressive Allocation. However, Global Bond Fund is 3.88 times less risky than Aggressive Allocation. It trades about 0.11 of its potential returns per unit of risk. Aggressive Allocation Fund is currently generating about 0.03 per unit of risk. If you would invest 843.00 in Global Bond Fund on December 28, 2024 and sell it today you would earn a total of 13.00 from holding Global Bond Fund or generate 1.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Global Bond Fund vs. Aggressive Allocation Fund
Performance |
Timeline |
Global Bond Fund |
Aggressive Allocation |
Global Bond and Aggressive Allocation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Bond and Aggressive Allocation
The main advantage of trading using opposite Global Bond and Aggressive Allocation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Bond position performs unexpectedly, Aggressive Allocation 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 Aggressive Allocation will offset losses from the drop in Aggressive Allocation's long position.Global Bond vs. Franklin Natural Resources | Global Bond vs. Salient Mlp Energy | Global Bond vs. Adams Natural Resources | Global Bond vs. Energy Basic Materials |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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