Correlation Between Balanced Fund and Income Growth
Can any of the company-specific risk be diversified away by investing in both Balanced Fund and Income 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 Balanced Fund and Income Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Fund Investor and Income Growth Fund, you can compare the effects of market volatilities on Balanced Fund and Income 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 Balanced Fund with a short position of Income Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Fund and Income Growth.
Diversification Opportunities for Balanced Fund and Income Growth
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Balanced and Income is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Fund Investor and Income Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Growth and Balanced 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 Balanced Fund Investor are associated (or correlated) with Income Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Growth has no effect on the direction of Balanced Fund i.e., Balanced Fund and Income Growth go up and down completely randomly.
Pair Corralation between Balanced Fund and Income Growth
Assuming the 90 days horizon Balanced Fund Investor is expected to under-perform the Income Growth. But the mutual fund apears to be less risky and, when comparing its historical volatility, Balanced Fund Investor is 1.21 times less risky than Income Growth. The mutual fund trades about -0.11 of its potential returns per unit of risk. The Income Growth Fund is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 3,643 in Income Growth Fund on December 30, 2024 and sell it today you would lose (100.00) from holding Income Growth Fund or give up 2.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Balanced Fund Investor vs. Income Growth Fund
Performance |
Timeline |
Balanced Fund Investor |
Income Growth |
Balanced Fund and Income Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Fund and Income Growth
The main advantage of trading using opposite Balanced Fund and Income Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Fund position performs unexpectedly, Income 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 Income Growth will offset losses from the drop in Income Growth's long position.Balanced Fund vs. Select Fund Investor | Balanced Fund vs. Heritage Fund Investor | Balanced Fund vs. Value Fund Investor | Balanced Fund vs. Growth Fund Investor |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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