Correlation Between Franklin High and Mfs Aggressive
Can any of the company-specific risk be diversified away by investing in both Franklin High and Mfs Aggressive 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 Aggressive 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 Aggressive Growth, you can compare the effects of market volatilities on Franklin High and Mfs Aggressive 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 Aggressive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Mfs Aggressive.
Diversification Opportunities for Franklin High and Mfs Aggressive
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Mfs is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Yield and Mfs Aggressive Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Aggressive Growth 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 Aggressive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Aggressive Growth has no effect on the direction of Franklin High i.e., Franklin High and Mfs Aggressive go up and down completely randomly.
Pair Corralation between Franklin High and Mfs Aggressive
Assuming the 90 days horizon Franklin High Yield is expected to generate 0.64 times more return on investment than Mfs Aggressive. However, Franklin High Yield is 1.56 times less risky than Mfs Aggressive. It trades about 0.06 of its potential returns per unit of risk. Mfs Aggressive Growth is currently generating about 0.03 per unit of risk. If you would invest 923.00 in Franklin High Yield on September 13, 2024 and sell it today you would earn a total of 7.00 from holding Franklin High Yield or generate 0.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin High Yield vs. Mfs Aggressive Growth
Performance |
Timeline |
Franklin High Yield |
Mfs Aggressive Growth |
Franklin High and Mfs Aggressive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Mfs Aggressive
The main advantage of trading using opposite Franklin High and Mfs Aggressive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Mfs Aggressive 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 Aggressive will offset losses from the drop in Mfs Aggressive's long position.Franklin High vs. Franklin Mutual Beacon | Franklin High vs. Templeton Developing Markets | Franklin High vs. Franklin Mutual Global | Franklin High vs. Franklin Mutual Global |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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