Correlation Between Franklin Mutual and Scharf Global
Can any of the company-specific risk be diversified away by investing in both Franklin Mutual and Scharf 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 Scharf 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 Scharf Global Opportunity, you can compare the effects of market volatilities on Franklin Mutual and Scharf 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 Scharf Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Mutual and Scharf Global.
Diversification Opportunities for Franklin Mutual and Scharf Global
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Franklin and Scharf is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Mutual Global and Scharf Global Opportunity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scharf Global Opportunity 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 Scharf Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scharf Global Opportunity has no effect on the direction of Franklin Mutual i.e., Franklin Mutual and Scharf Global go up and down completely randomly.
Pair Corralation between Franklin Mutual and Scharf Global
Assuming the 90 days horizon Franklin Mutual Global is expected to under-perform the Scharf Global. In addition to that, Franklin Mutual is 1.97 times more volatile than Scharf Global Opportunity. It trades about -0.35 of its total potential returns per unit of risk. Scharf Global Opportunity is currently generating about -0.43 per unit of volatility. If you would invest 3,795 in Scharf Global Opportunity on October 5, 2024 and sell it today you would lose (299.00) from holding Scharf Global Opportunity or give up 7.88% 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. Scharf Global Opportunity
Performance |
Timeline |
Franklin Mutual Global |
Scharf Global Opportunity |
Franklin Mutual and Scharf Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Mutual and Scharf Global
The main advantage of trading using opposite Franklin Mutual and Scharf Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Mutual position performs unexpectedly, Scharf 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 Scharf Global will offset losses from the drop in Scharf Global's long position.Franklin Mutual vs. Oppenheimer Gold Special | Franklin Mutual vs. Short Precious Metals | Franklin Mutual vs. Goldman Sachs Clean | Franklin Mutual vs. Gabelli Gold Fund |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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