Correlation Between Ep Emerging and Multi Index
Can any of the company-specific risk be diversified away by investing in both Ep Emerging and Multi Index 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 Ep Emerging and Multi Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ep Emerging Markets and Multi Index 2010 Lifetime, you can compare the effects of market volatilities on Ep Emerging and Multi Index 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 Ep Emerging with a short position of Multi Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ep Emerging and Multi Index.
Diversification Opportunities for Ep Emerging and Multi Index
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between EPASX and Multi is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Ep Emerging Markets and Multi Index 2010 Lifetime in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Index 2010 and Ep Emerging 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 Ep Emerging Markets are associated (or correlated) with Multi Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Index 2010 has no effect on the direction of Ep Emerging i.e., Ep Emerging and Multi Index go up and down completely randomly.
Pair Corralation between Ep Emerging and Multi Index
Assuming the 90 days horizon Ep Emerging Markets is expected to generate 2.07 times more return on investment than Multi Index. However, Ep Emerging is 2.07 times more volatile than Multi Index 2010 Lifetime. It trades about 0.3 of its potential returns per unit of risk. Multi Index 2010 Lifetime is currently generating about 0.25 per unit of risk. If you would invest 999.00 in Ep Emerging Markets on April 30, 2025 and sell it today you would earn a total of 98.00 from holding Ep Emerging Markets or generate 9.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ep Emerging Markets vs. Multi Index 2010 Lifetime
Performance |
Timeline |
Ep Emerging Markets |
Multi Index 2010 |
Ep Emerging and Multi Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ep Emerging and Multi Index
The main advantage of trading using opposite Ep Emerging and Multi Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ep Emerging position performs unexpectedly, Multi Index 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 Multi Index will offset losses from the drop in Multi Index's long position.Ep Emerging vs. Qs Global Equity | Ep Emerging vs. Calamos Global Growth | Ep Emerging vs. Jhancock Global Equity | Ep Emerging vs. Templeton Global Balanced |
Multi Index vs. Us Vector Equity | Multi Index vs. Jhancock Global Equity | Multi Index vs. Pnc International Equity | Multi Index vs. Qs Global 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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