Correlation Between Balanced Strategy and Origin Emerging
Can any of the company-specific risk be diversified away by investing in both Balanced Strategy and Origin 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 Origin 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 Origin Emerging Markets, you can compare the effects of market volatilities on Balanced Strategy and Origin 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 Origin Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Strategy and Origin Emerging.
Diversification Opportunities for Balanced Strategy and Origin Emerging
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Balanced and Origin is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Strategy Fund and Origin Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Origin 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 Origin Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Origin Emerging Markets has no effect on the direction of Balanced Strategy i.e., Balanced Strategy and Origin Emerging go up and down completely randomly.
Pair Corralation between Balanced Strategy and Origin Emerging
Assuming the 90 days horizon Balanced Strategy Fund is expected to generate 0.53 times more return on investment than Origin Emerging. However, Balanced Strategy Fund is 1.89 times less risky than Origin Emerging. It trades about 0.07 of its potential returns per unit of risk. Origin Emerging Markets is currently generating about 0.04 per unit of risk. If you would invest 998.00 in Balanced Strategy Fund on October 26, 2024 and sell it today you would earn a total of 46.00 from holding Balanced Strategy Fund or generate 4.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.12% |
Values | Daily Returns |
Balanced Strategy Fund vs. Origin Emerging Markets
Performance |
Timeline |
Balanced Strategy |
Origin Emerging Markets |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Balanced Strategy and Origin Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Strategy and Origin Emerging
The main advantage of trading using opposite Balanced Strategy and Origin Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Strategy position performs unexpectedly, Origin 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 Origin Emerging will offset losses from the drop in Origin Emerging's long position.Balanced Strategy vs. Cmg Ultra Short | Balanced Strategy vs. Blackrock Global Longshort | Balanced Strategy vs. Aqr Sustainable Long Short | Balanced Strategy vs. Angel Oak Ultrashort |
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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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