Correlation Between Franklin Mutual and Templeton Global
Can any of the company-specific risk be diversified away by investing in both Franklin Mutual and Templeton Global 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 Templeton Global 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 Templeton Global Smaller, you can compare the effects of market volatilities on Franklin Mutual and Templeton Global 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 Templeton Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Mutual and Templeton Global.
Diversification Opportunities for Franklin Mutual and Templeton Global
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Franklin and Templeton is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Mutual Global and Templeton Global Smaller in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Templeton Global Smaller 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 Templeton Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Templeton Global Smaller has no effect on the direction of Franklin Mutual i.e., Franklin Mutual and Templeton Global go up and down completely randomly.
Pair Corralation between Franklin Mutual and Templeton Global
Assuming the 90 days horizon Franklin Mutual Global is expected to generate 1.42 times more return on investment than Templeton Global. However, Franklin Mutual is 1.42 times more volatile than Templeton Global Smaller. It trades about -0.07 of its potential returns per unit of risk. Templeton Global Smaller is currently generating about -0.13 per unit of risk. If you would invest 3,193 in Franklin Mutual Global on November 28, 2024 and sell it today you would lose (157.00) from holding Franklin Mutual Global or give up 4.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Mutual Global vs. Templeton Global Smaller
Performance |
Timeline |
Franklin Mutual Global |
Templeton Global Smaller |
Franklin Mutual and Templeton Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Mutual and Templeton Global
The main advantage of trading using opposite Franklin Mutual and Templeton Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Mutual position performs unexpectedly, Templeton Global 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 Templeton Global will offset losses from the drop in Templeton Global's long position.Franklin Mutual vs. L Mason Qs | Franklin Mutual vs. Ab Centrated International | Franklin Mutual vs. Small Pany Growth | Franklin Mutual vs. Oklahoma College Savings |
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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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