Correlation Between Franklin Mutual and Western Asset
Can any of the company-specific risk be diversified away by investing in both Franklin Mutual and Western Asset 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 Franklin Mutual and Western Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Mutual Beacon and Western Asset Mortgage, you can compare the effects of market volatilities on Franklin Mutual and Western Asset 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 Franklin Mutual with a short position of Western Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Mutual and Western Asset.
Diversification Opportunities for Franklin Mutual and Western Asset
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Western is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Mutual Beacon and Western Asset Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Asset Mortgage and Franklin Mutual 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 Franklin Mutual Beacon are associated (or correlated) with Western Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Asset Mortgage has no effect on the direction of Franklin Mutual i.e., Franklin Mutual and Western Asset go up and down completely randomly.
Pair Corralation between Franklin Mutual and Western Asset
Assuming the 90 days horizon Franklin Mutual Beacon is expected to generate 2.08 times more return on investment than Western Asset. However, Franklin Mutual is 2.08 times more volatile than Western Asset Mortgage. It trades about 0.32 of its potential returns per unit of risk. Western Asset Mortgage is currently generating about 0.05 per unit of risk. If you would invest 1,576 in Franklin Mutual Beacon on November 3, 2024 and sell it today you would earn a total of 75.00 from holding Franklin Mutual Beacon or generate 4.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Mutual Beacon vs. Western Asset Mortgage
Performance |
Timeline |
Franklin Mutual Beacon |
Western Asset Mortgage |
Franklin Mutual and Western Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Mutual and Western Asset
The main advantage of trading using opposite Franklin Mutual and Western Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Mutual position performs unexpectedly, Western Asset 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 Western Asset will offset losses from the drop in Western Asset's long position.Franklin Mutual vs. Tax Free Conservative Income | Franklin Mutual vs. Wealthbuilder Conservative Allocation | Franklin Mutual vs. Calvert Conservative Allocation | Franklin Mutual vs. Lord Abbett Diversified |
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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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