Correlation Between Cullen Emerging and Neiman Large
Can any of the company-specific risk be diversified away by investing in both Cullen Emerging and Neiman Large 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 Cullen Emerging and Neiman Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cullen Emerging Markets and Neiman Large Cap, you can compare the effects of market volatilities on Cullen Emerging and Neiman Large 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 Cullen Emerging with a short position of Neiman Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cullen Emerging and Neiman Large.
Diversification Opportunities for Cullen Emerging and Neiman Large
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Cullen and Neiman is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Cullen Emerging Markets and Neiman Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neiman Large Cap and Cullen 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 Cullen Emerging Markets are associated (or correlated) with Neiman Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neiman Large Cap has no effect on the direction of Cullen Emerging i.e., Cullen Emerging and Neiman Large go up and down completely randomly.
Pair Corralation between Cullen Emerging and Neiman Large
Assuming the 90 days horizon Cullen Emerging Markets is expected to generate 1.35 times more return on investment than Neiman Large. However, Cullen Emerging is 1.35 times more volatile than Neiman Large Cap. It trades about 0.17 of its potential returns per unit of risk. Neiman Large Cap is currently generating about 0.15 per unit of risk. If you would invest 1,463 in Cullen Emerging Markets on September 4, 2025 and sell it today you would earn a total of 144.00 from holding Cullen Emerging Markets or generate 9.84% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cullen Emerging Markets vs. Neiman Large Cap
Performance |
| Timeline |
| Cullen Emerging Markets |
| Neiman Large Cap |
Cullen Emerging and Neiman Large Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cullen Emerging and Neiman Large
The main advantage of trading using opposite Cullen Emerging and Neiman Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cullen Emerging position performs unexpectedly, Neiman Large 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 Neiman Large will offset losses from the drop in Neiman Large's long position.| Cullen Emerging vs. T Rowe Price | Cullen Emerging vs. Federated Global Allocation | Cullen Emerging vs. T Rowe Price | Cullen Emerging vs. Siit Global Managed |
| Neiman Large vs. World Precious Minerals | Neiman Large vs. Global Gold Fund | Neiman Large vs. Gold And Precious | Neiman Large vs. Sprott Gold 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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