Correlation Between Rbc Emerging and Rbc China
Can any of the company-specific risk be diversified away by investing in both Rbc Emerging and Rbc China 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 Rbc Emerging and Rbc China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rbc Emerging Markets and Rbc China Equity, you can compare the effects of market volatilities on Rbc Emerging and Rbc China 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 Rbc Emerging with a short position of Rbc China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rbc Emerging and Rbc China.
Diversification Opportunities for Rbc Emerging and Rbc China
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Rbc and Rbc is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Rbc Emerging Markets and Rbc China Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rbc China Equity and Rbc 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 Rbc Emerging Markets are associated (or correlated) with Rbc China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rbc China Equity has no effect on the direction of Rbc Emerging i.e., Rbc Emerging and Rbc China go up and down completely randomly.
Pair Corralation between Rbc Emerging and Rbc China
Assuming the 90 days horizon Rbc Emerging is expected to generate 1.18 times less return on investment than Rbc China. But when comparing it to its historical volatility, Rbc Emerging Markets is 1.6 times less risky than Rbc China. It trades about 0.15 of its potential returns per unit of risk. Rbc China Equity is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,135 in Rbc China Equity on August 28, 2025 and sell it today you would earn a total of 109.00 from holding Rbc China Equity or generate 9.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Rbc Emerging Markets vs. Rbc China Equity
Performance |
| Timeline |
| Rbc Emerging Markets |
| Rbc China Equity |
Rbc Emerging and Rbc China Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rbc Emerging and Rbc China
The main advantage of trading using opposite Rbc Emerging and Rbc China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rbc Emerging position performs unexpectedly, Rbc China 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 Rbc China will offset losses from the drop in Rbc China's long position.| Rbc Emerging vs. Abbey Capital Futures | Rbc Emerging vs. Goldman Sachs Managed | Rbc Emerging vs. Ab Municipal Bond | Rbc Emerging vs. Loomis Sayles Inflation |
| Rbc China vs. Ab Small Cap | Rbc China vs. Aqr Small Cap | Rbc China vs. Artisan Small Cap | Rbc China vs. Eagle Small 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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