Correlation Between City National and Barings Active
Can any of the company-specific risk be diversified away by investing in both City National and Barings Active 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 City National and Barings Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between City National Rochdale and Barings Active Short, you can compare the effects of market volatilities on City National and Barings Active 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 City National with a short position of Barings Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of City National and Barings Active.
Diversification Opportunities for City National and Barings Active
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between City and Barings is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding City National Rochdale and Barings Active Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barings Active Short and City National 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 City National Rochdale are associated (or correlated) with Barings Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barings Active Short has no effect on the direction of City National i.e., City National and Barings Active go up and down completely randomly.
Pair Corralation between City National and Barings Active
Assuming the 90 days horizon City National Rochdale is expected to generate 0.71 times more return on investment than Barings Active. However, City National Rochdale is 1.41 times less risky than Barings Active. It trades about 0.24 of its potential returns per unit of risk. Barings Active Short is currently generating about 0.08 per unit of risk. If you would invest 1,960 in City National Rochdale on September 13, 2024 and sell it today you would earn a total of 24.00 from holding City National Rochdale or generate 1.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
City National Rochdale vs. Barings Active Short
Performance |
Timeline |
City National Rochdale |
Barings Active Short |
City National and Barings Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City National and Barings Active
The main advantage of trading using opposite City National and Barings Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City National position performs unexpectedly, Barings Active 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 Barings Active will offset losses from the drop in Barings Active's long position.City National vs. Deutsche Real Estate | City National vs. Short Real Estate | City National vs. Sa Real Estate | City National vs. Jhancock Real Estate |
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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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