Correlation Between Value Fund and Equity Income
Can any of the company-specific risk be diversified away by investing in both Value Fund and Equity Income 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 Value Fund and Equity Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Value Fund Investor and Equity Income Fund, you can compare the effects of market volatilities on Value Fund and Equity Income 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 Value Fund with a short position of Equity Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Value Fund and Equity Income.
Diversification Opportunities for Value Fund and Equity Income
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Value and Equity is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Value Fund Investor and Equity Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Equity Income and Value Fund 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 Value Fund Investor are associated (or correlated) with Equity Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Equity Income has no effect on the direction of Value Fund i.e., Value Fund and Equity Income go up and down completely randomly.
Pair Corralation between Value Fund and Equity Income
Assuming the 90 days horizon Value Fund Investor is expected to generate 1.32 times more return on investment than Equity Income. However, Value Fund is 1.32 times more volatile than Equity Income Fund. It trades about 0.13 of its potential returns per unit of risk. Equity Income Fund is currently generating about 0.13 per unit of risk. If you would invest 850.00 in Value Fund Investor on September 2, 2024 and sell it today you would earn a total of 42.00 from holding Value Fund Investor or generate 4.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Value Fund Investor vs. Equity Income Fund
Performance |
Timeline |
Value Fund Investor |
Equity Income |
Value Fund and Equity Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Value Fund and Equity Income
The main advantage of trading using opposite Value Fund and Equity Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Value Fund position performs unexpectedly, Equity Income 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 Income will offset losses from the drop in Equity Income's long position.Value Fund vs. International Growth Fund | Value Fund vs. Growth Fund Investor | Value Fund vs. Equity Income Fund | Value Fund vs. Ultra Fund Investor |
Equity Income vs. Value Fund Investor | Equity Income vs. Heritage Fund Investor | Equity Income vs. Equity Growth Fund | Equity Income vs. Mid Cap Value |
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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