Correlation Between City National and Franklin Mutual
Can any of the company-specific risk be diversified away by investing in both City National and Franklin Mutual 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 Franklin Mutual 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 Franklin Mutual Global, you can compare the effects of market volatilities on City National and Franklin Mutual 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 Franklin Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of City National and Franklin Mutual.
Diversification Opportunities for City National and Franklin Mutual
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between City and Franklin is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding City National Rochdale and Franklin Mutual Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Mutual Global 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 Franklin Mutual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Mutual Global has no effect on the direction of City National i.e., City National and Franklin Mutual go up and down completely randomly.
Pair Corralation between City National and Franklin Mutual
Assuming the 90 days horizon City National is expected to generate 32.14 times less return on investment than Franklin Mutual. But when comparing it to its historical volatility, City National Rochdale is 3.25 times less risky than Franklin Mutual. It trades about 0.02 of its potential returns per unit of risk. Franklin Mutual Global is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 2,800 in Franklin Mutual Global on December 29, 2024 and sell it today you would earn a total of 248.00 from holding Franklin Mutual Global or generate 8.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
City National Rochdale vs. Franklin Mutual Global
Performance |
Timeline |
City National Rochdale |
Franklin Mutual Global |
City National and Franklin Mutual Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City National and Franklin Mutual
The main advantage of trading using opposite City National and Franklin Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City National position performs unexpectedly, Franklin Mutual 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 Franklin Mutual will offset losses from the drop in Franklin Mutual's long position.City National vs. Franklin Mutual Global | City National vs. Aqr Global Equity | City National vs. Ab Global Bond | City National vs. Morningstar Global Income |
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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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