Correlation Between Frost Low and Edgewood Growth
Can any of the company-specific risk be diversified away by investing in both Frost Low and Edgewood Growth 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 Frost Low and Edgewood Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Frost Low Duration and Edgewood Growth Fund, you can compare the effects of market volatilities on Frost Low and Edgewood Growth 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 Frost Low with a short position of Edgewood Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Frost Low and Edgewood Growth.
Diversification Opportunities for Frost Low and Edgewood Growth
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Frost and Edgewood is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Frost Low Duration and Edgewood Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Edgewood Growth and Frost Low 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 Frost Low Duration are associated (or correlated) with Edgewood Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Edgewood Growth has no effect on the direction of Frost Low i.e., Frost Low and Edgewood Growth go up and down completely randomly.
Pair Corralation between Frost Low and Edgewood Growth
Assuming the 90 days horizon Frost Low Duration is expected to generate 0.09 times more return on investment than Edgewood Growth. However, Frost Low Duration is 10.56 times less risky than Edgewood Growth. It trades about 0.24 of its potential returns per unit of risk. Edgewood Growth Fund is currently generating about -0.05 per unit of risk. If you would invest 973.00 in Frost Low Duration on December 27, 2024 and sell it today you would earn a total of 17.00 from holding Frost Low Duration or generate 1.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Frost Low Duration vs. Edgewood Growth Fund
Performance |
Timeline |
Frost Low Duration |
Edgewood Growth |
Frost Low and Edgewood Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Frost Low and Edgewood Growth
The main advantage of trading using opposite Frost Low and Edgewood Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Frost Low position performs unexpectedly, Edgewood Growth 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 Edgewood Growth will offset losses from the drop in Edgewood Growth's long position.Frost Low vs. Baird Ultra Short | Frost Low vs. Frost Total Return | Frost Low vs. Frost Growth Equity | Frost Low vs. Frost Kempner Multi Cap |
Edgewood Growth vs. Edgewood Growth Fund | Edgewood Growth vs. Polen Growth Fund | Edgewood Growth vs. Doubleline Shiller Enhanced | Edgewood Growth vs. Parnassus Endeavor Fund |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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