Correlation Between Eagle Small and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Eagle Small and Emerging Markets 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 Eagle Small and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eagle Small Cap and Emerging Markets Fund, you can compare the effects of market volatilities on Eagle Small and Emerging Markets 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 Eagle Small with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eagle Small and Emerging Markets.
Diversification Opportunities for Eagle Small and Emerging Markets
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Eagle and Emerging is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Eagle Small Cap and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets and Eagle 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 Eagle Small Cap are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets has no effect on the direction of Eagle Small i.e., Eagle Small and Emerging Markets go up and down completely randomly.
Pair Corralation between Eagle Small and Emerging Markets
Assuming the 90 days horizon Eagle Small is expected to generate 2.08 times less return on investment than Emerging Markets. In addition to that, Eagle Small is 1.44 times more volatile than Emerging Markets Fund. It trades about 0.04 of its total potential returns per unit of risk. Emerging Markets Fund is currently generating about 0.11 per unit of volatility. If you would invest 1,752 in Emerging Markets Fund on September 23, 2024 and sell it today you would earn a total of 68.00 from holding Emerging Markets Fund or generate 3.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 8.65% |
Values | Daily Returns |
Eagle Small Cap vs. Emerging Markets Fund
Performance |
Timeline |
Eagle Small Cap |
Emerging Markets |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Eagle Small and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eagle Small and Emerging Markets
The main advantage of trading using opposite Eagle Small and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eagle Small position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.Eagle Small vs. Chartwell Short Duration | Eagle Small vs. Carillon Chartwell Short | Eagle Small vs. Chartwell Short Duration | Eagle Small vs. Carillon Chartwell Short |
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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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