Correlation Between Eagle Mid and Carillon Scout
Can any of the company-specific risk be diversified away by investing in both Eagle Mid and Carillon Scout 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 Mid and Carillon Scout into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eagle Mid Cap and Carillon Scout Small, you can compare the effects of market volatilities on Eagle Mid and Carillon Scout 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 Mid with a short position of Carillon Scout. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eagle Mid and Carillon Scout.
Diversification Opportunities for Eagle Mid and Carillon Scout
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Eagle and Carillon is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Eagle Mid Cap and Carillon Scout Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carillon Scout Small and Eagle Mid 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 Mid Cap are associated (or correlated) with Carillon Scout. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carillon Scout Small has no effect on the direction of Eagle Mid i.e., Eagle Mid and Carillon Scout go up and down completely randomly.
Pair Corralation between Eagle Mid and Carillon Scout
Assuming the 90 days horizon Eagle Mid Cap is expected to generate 0.92 times more return on investment than Carillon Scout. However, Eagle Mid Cap is 1.08 times less risky than Carillon Scout. It trades about -0.09 of its potential returns per unit of risk. Carillon Scout Small is currently generating about -0.11 per unit of risk. If you would invest 7,841 in Eagle Mid Cap on December 30, 2024 and sell it today you would lose (749.00) from holding Eagle Mid Cap or give up 9.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Eagle Mid Cap vs. Carillon Scout Small
Performance |
Timeline |
Eagle Mid Cap |
Carillon Scout Small |
Eagle Mid and Carillon Scout Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eagle Mid and Carillon Scout
The main advantage of trading using opposite Eagle Mid and Carillon Scout positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eagle Mid position performs unexpectedly, Carillon Scout 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 Carillon Scout will offset losses from the drop in Carillon Scout's long position.Eagle Mid vs. Mfs Mid Cap | Eagle Mid vs. Janus Triton Fund | Eagle Mid vs. Europacific Growth Fund | Eagle Mid vs. Mfs International Value |
Carillon Scout vs. Chartwell Short Duration | Carillon Scout vs. Carillon Chartwell Short | Carillon Scout vs. Chartwell Short Duration | Carillon Scout vs. Carillon Chartwell Short |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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