Correlation Between Bats Series and Ashmore Emerging
Can any of the company-specific risk be diversified away by investing in both Bats Series 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 Bats Series and Ashmore Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bats Series S and Ashmore Emerging Markets, you can compare the effects of market volatilities on Bats Series 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 Bats Series with a short position of Ashmore Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bats Series and Ashmore Emerging.
Diversification Opportunities for Bats Series and Ashmore Emerging
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bats and Ashmore is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Bats Series S 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 Bats Series 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 Bats Series S 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 Bats Series i.e., Bats Series and Ashmore Emerging go up and down completely randomly.
Pair Corralation between Bats Series and Ashmore Emerging
Assuming the 90 days horizon Bats Series is expected to generate 2.37 times less return on investment than Ashmore Emerging. But when comparing it to its historical volatility, Bats Series S is 2.12 times less risky than Ashmore Emerging. It trades about 0.12 of its potential returns per unit of risk. Ashmore Emerging Markets is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 558.00 in Ashmore Emerging Markets on December 10, 2024 and sell it today you would earn a total of 22.00 from holding Ashmore Emerging Markets or generate 3.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bats Series S vs. Ashmore Emerging Markets
Performance |
Timeline |
Bats Series S |
Ashmore Emerging Markets |
Bats Series and Ashmore Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bats Series and Ashmore Emerging
The main advantage of trading using opposite Bats Series and Ashmore Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bats Series 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.Bats Series vs. Blackrock Pa Muni | Bats Series vs. Managed Account Series | Bats Series vs. Blackrock Hi Yld | Bats Series vs. Blackrock High Yield |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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