Correlation Between Franklin Small and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both Franklin Small and Eaton Vance 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 Small and Eaton Vance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Small Cap and Eaton Vance Global, you can compare the effects of market volatilities on Franklin Small and Eaton Vance 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 Small with a short position of Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Small and Eaton Vance.
Diversification Opportunities for Franklin Small and Eaton Vance
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Franklin and Eaton is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Small Cap and Eaton Vance Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eaton Vance Global and Franklin Small 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 Small Cap are associated (or correlated) with Eaton Vance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eaton Vance Global has no effect on the direction of Franklin Small i.e., Franklin Small and Eaton Vance go up and down completely randomly.
Pair Corralation between Franklin Small and Eaton Vance
Assuming the 90 days horizon Franklin Small Cap is expected to generate 1.71 times more return on investment than Eaton Vance. However, Franklin Small is 1.71 times more volatile than Eaton Vance Global. It trades about 0.08 of its potential returns per unit of risk. Eaton Vance Global is currently generating about -0.06 per unit of risk. If you would invest 1,529 in Franklin Small Cap on October 9, 2024 and sell it today you would earn a total of 82.00 from holding Franklin Small Cap or generate 5.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Small Cap vs. Eaton Vance Global
Performance |
Timeline |
Franklin Small Cap |
Eaton Vance Global |
Franklin Small and Eaton Vance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Small and Eaton Vance
The main advantage of trading using opposite Franklin Small and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Small position performs unexpectedly, Eaton Vance 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 Eaton Vance will offset losses from the drop in Eaton Vance's long position.Franklin Small vs. Gamco Global Gold | Franklin Small vs. Gabelli Gold Fund | Franklin Small vs. Sprott Gold Equity | Franklin Small vs. Precious Metals And |
Eaton Vance vs. Eaton Vance Msschsts | Eaton Vance vs. Eaton Vance Municipal | Eaton Vance vs. Eaton Vance Municipal | Eaton Vance vs. Eaton Vance Municipal |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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