Correlation Between Emerging Markets and Us High
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Us High 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 Emerging Markets and Us High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerging Markets E and Us High Relative, you can compare the effects of market volatilities on Emerging Markets and Us High 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 Emerging Markets with a short position of Us High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Us High.
Diversification Opportunities for Emerging Markets and Us High
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Emerging and DURPX is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets E and Us High Relative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Us High Relative and Emerging Markets 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 Emerging Markets E are associated (or correlated) with Us High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Us High Relative has no effect on the direction of Emerging Markets i.e., Emerging Markets and Us High go up and down completely randomly.
Pair Corralation between Emerging Markets and Us High
Assuming the 90 days horizon Emerging Markets is expected to generate 2.21 times less return on investment than Us High. In addition to that, Emerging Markets is 1.07 times more volatile than Us High Relative. It trades about 0.07 of its total potential returns per unit of risk. Us High Relative is currently generating about 0.15 per unit of volatility. If you would invest 1,921 in Us High Relative on August 24, 2024 and sell it today you would earn a total of 608.00 from holding Us High Relative or generate 31.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Emerging Markets E vs. Us High Relative
Performance |
| Timeline |
| Emerging Markets E |
| Us High Relative |
Emerging Markets and Us High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Emerging Markets and Us High
The main advantage of trading using opposite Emerging Markets and Us High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Us High 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 Us High will offset losses from the drop in Us High's long position.| Emerging Markets vs. International E Equity | Emerging Markets vs. Dfa International Small | Emerging Markets vs. Us E Equity | Emerging Markets vs. Us Large Cap |
| Us High vs. Intal High Relative | Us High vs. Dfa Investment Grade | Us High vs. Emerging Markets E | Us High vs. Us E Equity |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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