Correlation Between Vanguard Short-term and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both Vanguard Short-term 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 Vanguard Short-term and Eaton Vance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vanguard Short Term Government and Eaton Vance Short, you can compare the effects of market volatilities on Vanguard Short-term 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 Vanguard Short-term with a short position of Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard Short-term and Eaton Vance.
Diversification Opportunities for Vanguard Short-term and Eaton Vance
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Vanguard and Eaton is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard Short Term Government 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 Vanguard Short-term 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 Vanguard Short Term Government 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 Vanguard Short-term i.e., Vanguard Short-term and Eaton Vance go up and down completely randomly.
Pair Corralation between Vanguard Short-term and Eaton Vance
Assuming the 90 days horizon Vanguard Short Term Government is expected to generate about the same return on investment as Eaton Vance Short. But, Vanguard Short Term Government is 2.25 times less risky than Eaton Vance. It trades about 0.15 of its potential returns per unit of risk. Eaton Vance Short is currently generating about 0.07 per unit of risk. If you would invest 692.00 in Eaton Vance Short on September 2, 2024 and sell it today you would earn a total of 29.00 from holding Eaton Vance Short or generate 4.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Vanguard Short Term Government vs. Eaton Vance Short
Performance |
Timeline |
Vanguard Short Term |
Eaton Vance Short |
Vanguard Short-term and Eaton Vance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard Short-term and Eaton Vance
The main advantage of trading using opposite Vanguard Short-term and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard Short-term 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.Vanguard Short-term vs. Aqr Diversified Arbitrage | Vanguard Short-term vs. Small Cap Stock | Vanguard Short-term vs. Jhancock Diversified Macro | Vanguard Short-term vs. American Century Diversified |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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