Correlation Between Franklin Emerging and The Fairholme
Can any of the company-specific risk be diversified away by investing in both Franklin Emerging and The Fairholme 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 Emerging and The Fairholme into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Emerging Market and The Fairholme Fund, you can compare the effects of market volatilities on Franklin Emerging and The Fairholme 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 Emerging with a short position of The Fairholme. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Emerging and The Fairholme.
Diversification Opportunities for Franklin Emerging and The Fairholme
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Franklin and The is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Emerging Market and The Fairholme Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on The Fairholme and Franklin Emerging 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 Emerging Market are associated (or correlated) with The Fairholme. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of The Fairholme has no effect on the direction of Franklin Emerging i.e., Franklin Emerging and The Fairholme go up and down completely randomly.
Pair Corralation between Franklin Emerging and The Fairholme
Assuming the 90 days horizon Franklin Emerging Market is expected to generate 0.23 times more return on investment than The Fairholme. However, Franklin Emerging Market is 4.33 times less risky than The Fairholme. It trades about 0.11 of its potential returns per unit of risk. The Fairholme Fund is currently generating about 0.02 per unit of risk. If you would invest 965.00 in Franklin Emerging Market on October 10, 2024 and sell it today you would earn a total of 196.00 from holding Franklin Emerging Market or generate 20.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Emerging Market vs. The Fairholme Fund
Performance |
Timeline |
Franklin Emerging Market |
The Fairholme |
Franklin Emerging and The Fairholme Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Emerging and The Fairholme
The main advantage of trading using opposite Franklin Emerging and The Fairholme positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Emerging position performs unexpectedly, The Fairholme 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 The Fairholme will offset losses from the drop in The Fairholme's long position.Franklin Emerging vs. John Hancock Financial | Franklin Emerging vs. Mesirow Financial Small | Franklin Emerging vs. Icon Financial Fund | Franklin Emerging vs. Prudential Financial Services |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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