Correlation Between Us Vector and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Us Vector 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 Us Vector and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Vector Equity and Emerging Markets E, you can compare the effects of market volatilities on Us Vector 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 Us Vector with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Vector and Emerging Markets.
Diversification Opportunities for Us Vector and Emerging Markets
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DFVEX and Emerging is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Us Vector Equity and Emerging Markets E in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets E and Us Vector 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 Us Vector Equity 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 E has no effect on the direction of Us Vector i.e., Us Vector and Emerging Markets go up and down completely randomly.
Pair Corralation between Us Vector and Emerging Markets
Assuming the 90 days horizon Us Vector is expected to generate 1.15 times less return on investment than Emerging Markets. In addition to that, Us Vector is 1.98 times more volatile than Emerging Markets E. It trades about 0.2 of its total potential returns per unit of risk. Emerging Markets E is currently generating about 0.46 per unit of volatility. If you would invest 2,153 in Emerging Markets E on February 6, 2025 and sell it today you would earn a total of 268.00 from holding Emerging Markets E or generate 12.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Us Vector Equity vs. Emerging Markets E
Performance |
Timeline |
Us Vector Equity |
Emerging Markets E |
Us Vector and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Vector and Emerging Markets
The main advantage of trading using opposite Us Vector and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Vector 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.Us Vector vs. Mesirow Financial Small | Us Vector vs. Fidelity Advisor Financial | Us Vector vs. Davis Financial Fund | Us Vector vs. Financial Industries Fund |
Emerging Markets vs. International E Equity | Emerging Markets vs. Dfa International Small | Emerging Markets vs. Us E Equity | Emerging Markets vs. Us Large Cap |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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