Correlation Between Franklin Mutual and Franklin North
Can any of the company-specific risk be diversified away by investing in both Franklin Mutual and Franklin North 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 Franklin North into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Mutual Global and Franklin North Carolina, you can compare the effects of market volatilities on Franklin Mutual and Franklin North 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 Franklin North. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Mutual and Franklin North.
Diversification Opportunities for Franklin Mutual and Franklin North
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Franklin is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Mutual Global and Franklin North Carolina in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin North Carolina 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 Global are associated (or correlated) with Franklin North. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin North Carolina has no effect on the direction of Franklin Mutual i.e., Franklin Mutual and Franklin North go up and down completely randomly.
Pair Corralation between Franklin Mutual and Franklin North
Assuming the 90 days horizon Franklin Mutual Global is expected to under-perform the Franklin North. In addition to that, Franklin Mutual is 2.26 times more volatile than Franklin North Carolina. It trades about -0.02 of its total potential returns per unit of risk. Franklin North Carolina is currently generating about 0.04 per unit of volatility. If you would invest 1,059 in Franklin North Carolina on September 14, 2024 and sell it today you would earn a total of 6.00 from holding Franklin North Carolina or generate 0.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Mutual Global vs. Franklin North Carolina
Performance |
Timeline |
Franklin Mutual Global |
Franklin North Carolina |
Franklin Mutual and Franklin North Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Mutual and Franklin North
The main advantage of trading using opposite Franklin Mutual and Franklin North positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Mutual position performs unexpectedly, Franklin North 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 North will offset losses from the drop in Franklin North's long position.Franklin Mutual vs. Energy Basic Materials | Franklin Mutual vs. Jennison Natural Resources | Franklin Mutual vs. Firsthand Alternative Energy | Franklin Mutual vs. Alpsalerian Energy Infrastructure |
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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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