Correlation Between Emerging Markets and Pear Tree
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Pear Tree 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 Pear Tree into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerging Markets Portfolio and Pear Tree Polaris, you can compare the effects of market volatilities on Emerging Markets and Pear Tree 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 Pear Tree. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Pear Tree.
Diversification Opportunities for Emerging Markets and Pear Tree
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Emerging and Pear is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets Portfolio and Pear Tree Polaris in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pear Tree Polaris 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 Portfolio are associated (or correlated) with Pear Tree. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pear Tree Polaris has no effect on the direction of Emerging Markets i.e., Emerging Markets and Pear Tree go up and down completely randomly.
Pair Corralation between Emerging Markets and Pear Tree
Assuming the 90 days horizon Emerging Markets Portfolio is expected to under-perform the Pear Tree. In addition to that, Emerging Markets is 1.1 times more volatile than Pear Tree Polaris. It trades about -0.21 of its total potential returns per unit of risk. Pear Tree Polaris is currently generating about -0.16 per unit of volatility. If you would invest 2,420 in Pear Tree Polaris on August 29, 2024 and sell it today you would lose (69.00) from holding Pear Tree Polaris or give up 2.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Emerging Markets Portfolio vs. Pear Tree Polaris
Performance |
| Timeline |
| Emerging Markets Por |
| Pear Tree Polaris |
Emerging Markets and Pear Tree Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Emerging Markets and Pear Tree
The main advantage of trading using opposite Emerging Markets and Pear Tree positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Pear Tree 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 Pear Tree will offset losses from the drop in Pear Tree's long position.| Emerging Markets vs. Vanguard Emerging Markets | Emerging Markets vs. Vanguard Emerging Markets | Emerging Markets vs. HUMANA INC | Emerging Markets vs. Aquagold International |
| Pear Tree vs. HUMANA INC | Pear Tree vs. Aquagold International | Pear Tree vs. Barloworld Ltd ADR | Pear Tree vs. Morningstar Unconstrained Allocation |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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