Correlation Between Ashmore Emerging and Baron Intl
Can any of the company-specific risk be diversified away by investing in both Ashmore Emerging and Baron Intl 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 Ashmore Emerging and Baron Intl into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ashmore Emerging Markets and Baron Intl Growth, you can compare the effects of market volatilities on Ashmore Emerging and Baron Intl 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 Ashmore Emerging with a short position of Baron Intl. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ashmore Emerging and Baron Intl.
Diversification Opportunities for Ashmore Emerging and Baron Intl
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ashmore and Baron is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Ashmore Emerging Markets and Baron Intl Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baron Intl Growth and Ashmore Emerging 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 Ashmore Emerging Markets are associated (or correlated) with Baron Intl. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baron Intl Growth has no effect on the direction of Ashmore Emerging i.e., Ashmore Emerging and Baron Intl go up and down completely randomly.
Pair Corralation between Ashmore Emerging and Baron Intl
Assuming the 90 days horizon Ashmore Emerging Markets is expected to generate 0.56 times more return on investment than Baron Intl. However, Ashmore Emerging Markets is 1.77 times less risky than Baron Intl. It trades about -0.3 of its potential returns per unit of risk. Baron Intl Growth is currently generating about -0.2 per unit of risk. If you would invest 845.00 in Ashmore Emerging Markets on October 12, 2024 and sell it today you would lose (18.00) from holding Ashmore Emerging Markets or give up 2.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ashmore Emerging Markets vs. Baron Intl Growth
Performance |
Timeline |
Ashmore Emerging Markets |
Baron Intl Growth |
Ashmore Emerging and Baron Intl Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ashmore Emerging and Baron Intl
The main advantage of trading using opposite Ashmore Emerging and Baron Intl positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ashmore Emerging position performs unexpectedly, Baron Intl 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 Baron Intl will offset losses from the drop in Baron Intl's long position.Ashmore Emerging vs. Qs Moderate Growth | Ashmore Emerging vs. Transamerica Cleartrack Retirement | Ashmore Emerging vs. Qs Moderate Growth | Ashmore Emerging vs. Columbia Moderate 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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