Correlation Between Russell 2000 and Ashmore Emerging
Can any of the company-specific risk be diversified away by investing in both Russell 2000 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 Russell 2000 and Ashmore Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Russell 2000 2x and Ashmore Emerging Markets, you can compare the effects of market volatilities on Russell 2000 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 Russell 2000 with a short position of Ashmore Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Russell 2000 and Ashmore Emerging.
Diversification Opportunities for Russell 2000 and Ashmore Emerging
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Russell and Ashmore is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Russell 2000 2x 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 Russell 2000 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 Russell 2000 2x 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 Russell 2000 i.e., Russell 2000 and Ashmore Emerging go up and down completely randomly.
Pair Corralation between Russell 2000 and Ashmore Emerging
Assuming the 90 days horizon Russell 2000 2x is expected to under-perform the Ashmore Emerging. In addition to that, Russell 2000 is 22.89 times more volatile than Ashmore Emerging Markets. It trades about -0.13 of its total potential returns per unit of risk. Ashmore Emerging Markets is currently generating about 0.27 per unit of volatility. If you would invest 875.00 in Ashmore Emerging Markets on December 29, 2024 and sell it today you would earn a total of 7.00 from holding Ashmore Emerging Markets or generate 0.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 45.16% |
Values | Daily Returns |
Russell 2000 2x vs. Ashmore Emerging Markets
Performance |
Timeline |
Russell 2000 2x |
Ashmore Emerging Markets |
Risk-Adjusted Performance
Solid
Weak | Strong |
Russell 2000 and Ashmore Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Russell 2000 and Ashmore Emerging
The main advantage of trading using opposite Russell 2000 and Ashmore Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Russell 2000 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.Russell 2000 vs. Dodge Cox Stock | Russell 2000 vs. Fidelity Large Cap | Russell 2000 vs. Transamerica Large Cap | Russell 2000 vs. Jhancock Disciplined Value |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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