Correlation Between Value Equity and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Value Equity and Emerging Markets 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 Value Equity and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Value Equity Institutional and Emerging Markets Equity, you can compare the effects of market volatilities on Value Equity and Emerging Markets 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 Value Equity with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Value Equity and Emerging Markets.
Diversification Opportunities for Value Equity and Emerging Markets
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Value and Emerging is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Value Equity Institutional and Emerging Markets Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Equity and Value Equity 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 Value Equity Institutional are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets Equity has no effect on the direction of Value Equity i.e., Value Equity and Emerging Markets go up and down completely randomly.
Pair Corralation between Value Equity and Emerging Markets
Assuming the 90 days horizon Value Equity Institutional is expected to generate 0.75 times more return on investment than Emerging Markets. However, Value Equity Institutional is 1.33 times less risky than Emerging Markets. It trades about 0.31 of its potential returns per unit of risk. Emerging Markets Equity is currently generating about 0.11 per unit of risk. If you would invest 1,883 in Value Equity Institutional on November 8, 2024 and sell it today you would earn a total of 88.00 from holding Value Equity Institutional or generate 4.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Value Equity Institutional vs. Emerging Markets Equity
Performance |
| Timeline |
| Value Equity Institu |
| Emerging Markets Equity |
Value Equity and Emerging Markets Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Value Equity and Emerging Markets
The main advantage of trading using opposite Value Equity and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Value Equity position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.| Value Equity vs. Arrow Managed Futures | Value Equity vs. Abbey Capital Futures | Value Equity vs. Ab Bond Inflation | Value Equity vs. Fidelity Sai Inflationfocused |
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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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