Correlation Between Equity Income and Equity Series
Can any of the company-specific risk be diversified away by investing in both Equity Income and Equity Series 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 Equity Income and Equity Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Equity Income Fund and Equity Series Class, you can compare the effects of market volatilities on Equity Income and Equity Series 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 Equity Income with a short position of Equity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Equity Income and Equity Series.
Diversification Opportunities for Equity Income and Equity Series
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Equity and Equity is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Equity Income Fund and Equity Series Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Equity Series Class and Equity Income 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 Equity Income Fund are associated (or correlated) with Equity Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Equity Series Class has no effect on the direction of Equity Income i.e., Equity Income and Equity Series go up and down completely randomly.
Pair Corralation between Equity Income and Equity Series
Assuming the 90 days horizon Equity Income Fund is expected to generate 0.99 times more return on investment than Equity Series. However, Equity Income Fund is 1.01 times less risky than Equity Series. It trades about 0.12 of its potential returns per unit of risk. Equity Series Class is currently generating about 0.11 per unit of risk. If you would invest 3,420 in Equity Income Fund on September 2, 2024 and sell it today you would earn a total of 1,160 from holding Equity Income Fund or generate 33.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Equity Income Fund vs. Equity Series Class
Performance |
| Timeline |
| Equity Income |
| Equity Series Class |
Equity Income and Equity Series Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Equity Income and Equity Series
The main advantage of trading using opposite Equity Income and Equity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Equity Income position performs unexpectedly, Equity Series 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 Equity Series will offset losses from the drop in Equity Series' long position.| Equity Income vs. Ab Bond Inflation | Equity Income vs. American Funds Inflation | Equity Income vs. Arrow Managed Futures | Equity Income vs. Guidepath Managed Futures |
| Equity Series vs. Large Cap Fund | Equity Series vs. Wasatch Large Cap | Equity Series vs. Westcore Plus Bond | Equity Series vs. Aberdeen Global High |
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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