Correlation Between Ab Global and Franklin Mutual
Can any of the company-specific risk be diversified away by investing in both Ab Global 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 Ab Global and Franklin Mutual into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ab Global Risk and Franklin Mutual Global, you can compare the effects of market volatilities on Ab Global 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 Ab Global with a short position of Franklin Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab Global and Franklin Mutual.
Diversification Opportunities for Ab Global and Franklin Mutual
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CABIX and Franklin is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Ab Global Risk 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 Ab Global 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 Ab Global Risk 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 Ab Global i.e., Ab Global and Franklin Mutual go up and down completely randomly.
Pair Corralation between Ab Global and Franklin Mutual
Assuming the 90 days horizon Ab Global Risk is expected to generate 0.64 times more return on investment than Franklin Mutual. However, Ab Global Risk is 1.56 times less risky than Franklin Mutual. It trades about 0.1 of its potential returns per unit of risk. Franklin Mutual Global is currently generating about 0.03 per unit of risk. If you would invest 1,757 in Ab Global Risk on September 4, 2024 and sell it today you would earn a total of 45.00 from holding Ab Global Risk or generate 2.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Ab Global Risk vs. Franklin Mutual Global
Performance |
Timeline |
Ab Global Risk |
Franklin Mutual Global |
Ab Global and Franklin Mutual Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ab Global and Franklin Mutual
The main advantage of trading using opposite Ab Global and Franklin Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab Global 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.Ab Global vs. Ab Global E | Ab Global vs. Ab Global E | Ab Global vs. Ab Minnesota Portfolio | Ab Global vs. Ab Minnesota Portfolio |
Franklin Mutual vs. Franklin Mutual Beacon | Franklin Mutual vs. Templeton Developing Markets | Franklin Mutual vs. Franklin Mutual Global | Franklin Mutual vs. Franklin Mutual Global |
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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