Correlation Between Balanced Strategy and Ashmore Emerging
Can any of the company-specific risk be diversified away by investing in both Balanced Strategy and Ashmore Emerging 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 Balanced Strategy and Ashmore Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Strategy Fund and Ashmore Emerging Markets, you can compare the effects of market volatilities on Balanced Strategy and Ashmore Emerging 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 Balanced Strategy with a short position of Ashmore Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Strategy and Ashmore Emerging.
Diversification Opportunities for Balanced Strategy and Ashmore Emerging
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Balanced and Ashmore is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Strategy Fund and Ashmore Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ashmore Emerging Markets and Balanced Strategy 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 Balanced Strategy Fund are associated (or correlated) with Ashmore Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ashmore Emerging Markets has no effect on the direction of Balanced Strategy i.e., Balanced Strategy and Ashmore Emerging go up and down completely randomly.
Pair Corralation between Balanced Strategy and Ashmore Emerging
Assuming the 90 days horizon Balanced Strategy Fund is expected to generate 0.55 times more return on investment than Ashmore Emerging. However, Balanced Strategy Fund is 1.82 times less risky than Ashmore Emerging. It trades about 0.01 of its potential returns per unit of risk. Ashmore Emerging Markets is currently generating about 0.0 per unit of risk. If you would invest 1,025 in Balanced Strategy Fund on December 21, 2024 and sell it today you would earn a total of 4.00 from holding Balanced Strategy Fund or generate 0.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Balanced Strategy Fund vs. Ashmore Emerging Markets
Performance |
Timeline |
Balanced Strategy |
Ashmore Emerging Markets |
Balanced Strategy and Ashmore Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Strategy and Ashmore Emerging
The main advantage of trading using opposite Balanced Strategy and Ashmore Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Strategy position performs unexpectedly, Ashmore Emerging 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 Ashmore Emerging will offset losses from the drop in Ashmore Emerging's long position.Balanced Strategy vs. Guidemark Large Cap | Balanced Strategy vs. Old Westbury Large | Balanced Strategy vs. T Rowe Price | Balanced Strategy vs. Pnc Balanced Allocation |
Ashmore Emerging vs. Prudential Short Duration | Ashmore Emerging vs. Federated Hermes Sdg | Ashmore Emerging vs. T Rowe Price | Ashmore Emerging vs. Calvert High Yield |
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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