Correlation Between Financial Industries and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both Financial Industries 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 Financial Industries and Eaton Vance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Eaton Vance Short, you can compare the effects of market volatilities on Financial Industries 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 Financial Industries with a short position of Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Eaton Vance.
Diversification Opportunities for Financial Industries and Eaton Vance
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Financial and Eaton is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Eaton Vance Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eaton Vance Short and Financial Industries 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 Financial Industries Fund 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 Short has no effect on the direction of Financial Industries i.e., Financial Industries and Eaton Vance go up and down completely randomly.
Pair Corralation between Financial Industries and Eaton Vance
Assuming the 90 days horizon Financial Industries Fund is expected to under-perform the Eaton Vance. In addition to that, Financial Industries is 20.05 times more volatile than Eaton Vance Short. It trades about -0.3 of its total potential returns per unit of risk. Eaton Vance Short is currently generating about -0.22 per unit of volatility. If you would invest 900.00 in Eaton Vance Short on October 9, 2024 and sell it today you would lose (4.00) from holding Eaton Vance Short or give up 0.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. Eaton Vance Short
Performance |
Timeline |
Financial Industries |
Eaton Vance Short |
Financial Industries and Eaton Vance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and Eaton Vance
The main advantage of trading using opposite Financial Industries and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries 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.Financial Industries vs. Dreyfus Government Cash | Financial Industries vs. American Funds Government | Financial Industries vs. Voya Government Money | Financial Industries vs. Inverse Government Long |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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