Correlation Between Franklin Adjustable and Mfs New
Can any of the company-specific risk be diversified away by investing in both Franklin Adjustable and Mfs New 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 Adjustable and Mfs New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Adjustable Government and Mfs New Discovery, you can compare the effects of market volatilities on Franklin Adjustable and Mfs New 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 Adjustable with a short position of Mfs New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Adjustable and Mfs New.
Diversification Opportunities for Franklin Adjustable and Mfs New
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Franklin and Mfs is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Adjustable Government and Mfs New Discovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs New Discovery and Franklin Adjustable 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 Adjustable Government are associated (or correlated) with Mfs New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs New Discovery has no effect on the direction of Franklin Adjustable i.e., Franklin Adjustable and Mfs New go up and down completely randomly.
Pair Corralation between Franklin Adjustable and Mfs New
Assuming the 90 days horizon Franklin Adjustable is expected to generate 13.32 times less return on investment than Mfs New. But when comparing it to its historical volatility, Franklin Adjustable Government is 8.26 times less risky than Mfs New. It trades about 0.18 of its potential returns per unit of risk. Mfs New Discovery is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 3,138 in Mfs New Discovery on October 24, 2024 and sell it today you would earn a total of 169.00 from holding Mfs New Discovery or generate 5.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Adjustable Government vs. Mfs New Discovery
Performance |
Timeline |
Franklin Adjustable |
Mfs New Discovery |
Franklin Adjustable and Mfs New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Adjustable and Mfs New
The main advantage of trading using opposite Franklin Adjustable and Mfs New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Adjustable position performs unexpectedly, Mfs New 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 Mfs New will offset losses from the drop in Mfs New's long position.Franklin Adjustable vs. Ashmore Emerging Markets | Franklin Adjustable vs. Dws Emerging Markets | Franklin Adjustable vs. Ultraemerging Markets Profund | Franklin Adjustable vs. Sp Midcap Index |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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