Correlation Between Berwyn Cornerstone and Eagle Growth
Can any of the company-specific risk be diversified away by investing in both Berwyn Cornerstone and Eagle 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 Berwyn Cornerstone and Eagle Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berwyn Nerstone Fund and Eagle Growth Income, you can compare the effects of market volatilities on Berwyn Cornerstone and Eagle 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 Berwyn Cornerstone with a short position of Eagle Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berwyn Cornerstone and Eagle Growth.
Diversification Opportunities for Berwyn Cornerstone and Eagle Growth
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Berwyn and Eagle is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Berwyn Nerstone Fund and Eagle Growth Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagle Growth Income and Berwyn Cornerstone 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 Berwyn Nerstone Fund are associated (or correlated) with Eagle Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagle Growth Income has no effect on the direction of Berwyn Cornerstone i.e., Berwyn Cornerstone and Eagle Growth go up and down completely randomly.
Pair Corralation between Berwyn Cornerstone and Eagle Growth
Assuming the 90 days horizon Berwyn Nerstone Fund is expected to generate 1.06 times more return on investment than Eagle Growth. However, Berwyn Cornerstone is 1.06 times more volatile than Eagle Growth Income. It trades about -0.04 of its potential returns per unit of risk. Eagle Growth Income is currently generating about -0.04 per unit of risk. If you would invest 1,672 in Berwyn Nerstone Fund on December 29, 2024 and sell it today you would lose (35.00) from holding Berwyn Nerstone Fund or give up 2.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Berwyn Nerstone Fund vs. Eagle Growth Income
Performance |
Timeline |
Berwyn Cornerstone |
Eagle Growth Income |
Berwyn Cornerstone and Eagle Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berwyn Cornerstone and Eagle Growth
The main advantage of trading using opposite Berwyn Cornerstone and Eagle Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berwyn Cornerstone position performs unexpectedly, Eagle 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 Eagle Growth will offset losses from the drop in Eagle Growth's long position.Berwyn Cornerstone vs. Virtus Convertible | Berwyn Cornerstone vs. Calamos Dynamic Convertible | Berwyn Cornerstone vs. Lord Abbett Convertible | Berwyn Cornerstone vs. Absolute Convertible Arbitrage |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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