Correlation Between Franklin High and Mfs North
Can any of the company-specific risk be diversified away by investing in both Franklin High and Mfs 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 High and Mfs North into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin High Yield and Mfs North Carolina, you can compare the effects of market volatilities on Franklin High and Mfs 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 High with a short position of Mfs North. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Mfs North.
Diversification Opportunities for Franklin High and Mfs North
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Franklin and Mfs is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Yield and Mfs North Carolina in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs North Carolina and Franklin High 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 High Yield are associated (or correlated) with Mfs North. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs North Carolina has no effect on the direction of Franklin High i.e., Franklin High and Mfs North go up and down completely randomly.
Pair Corralation between Franklin High and Mfs North
Assuming the 90 days horizon Franklin High Yield is expected to generate 1.06 times more return on investment than Mfs North. However, Franklin High is 1.06 times more volatile than Mfs North Carolina. It trades about 0.05 of its potential returns per unit of risk. Mfs North Carolina is currently generating about 0.04 per unit of risk. If you would invest 853.00 in Franklin High Yield on October 24, 2024 and sell it today you would earn a total of 56.00 from holding Franklin High Yield or generate 6.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.8% |
Values | Daily Returns |
Franklin High Yield vs. Mfs North Carolina
Performance |
Timeline |
Franklin High Yield |
Mfs North Carolina |
Franklin High and Mfs North Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Mfs North
The main advantage of trading using opposite Franklin High and Mfs North positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Mfs 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 Mfs North will offset losses from the drop in Mfs North's long position.Franklin High vs. Rbc Funds Trust | Franklin High vs. Transamerica Asset Allocation | Franklin High vs. Rbc Global Equity | Franklin High vs. Dreyfusstandish Global Fixed |
Mfs North vs. Mfs Prudent Investor | Mfs North vs. Mfs Prudent Investor | Mfs North vs. Mfs Prudent Investor | Mfs North vs. Mfs Prudent Investor |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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