Correlation Between Cohen and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Cohen 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 Cohen and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cohen And Steers and Emerging Markets Portfolio, you can compare the effects of market volatilities on Cohen 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 Cohen with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cohen and Emerging Markets.
Diversification Opportunities for Cohen and Emerging Markets
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cohen and Emerging is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Cohen And Steers and Emerging Markets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Por and Cohen 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 Cohen And Steers 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 Por has no effect on the direction of Cohen i.e., Cohen and Emerging Markets go up and down completely randomly.
Pair Corralation between Cohen and Emerging Markets
Assuming the 90 days horizon Cohen is expected to generate 2.48 times less return on investment than Emerging Markets. In addition to that, Cohen is 1.11 times more volatile than Emerging Markets Portfolio. It trades about 0.13 of its total potential returns per unit of risk. Emerging Markets Portfolio is currently generating about 0.35 per unit of volatility. If you would invest 2,903 in Emerging Markets Portfolio on April 26, 2025 and sell it today you would earn a total of 466.00 from holding Emerging Markets Portfolio or generate 16.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cohen And Steers vs. Emerging Markets Portfolio
Performance |
Timeline |
Cohen And Steers |
Emerging Markets Por |
Cohen and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cohen and Emerging Markets
The main advantage of trading using opposite Cohen and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cohen 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.Cohen vs. Emerging Markets Portfolio | Cohen vs. Cohen Steers Realty | Cohen vs. Oppenheimer Developing Markets | Cohen vs. Cohen Steers International |
Emerging Markets vs. International Small Pany | Emerging Markets vs. Dfa International Small | Emerging Markets vs. Dfa International Value | 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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