Correlation Between Income Fund and Capital World
Can any of the company-specific risk be diversified away by investing in both Income Fund and Capital World 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 Income Fund and Capital World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Income Fund Of and Capital World Growth, you can compare the effects of market volatilities on Income Fund and Capital World 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 Income Fund with a short position of Capital World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Income Fund and Capital World.
Diversification Opportunities for Income Fund and Capital World
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Income and Capital is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Income Fund Of and Capital World Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capital World Growth and Income 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 Income Fund Of are associated (or correlated) with Capital World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capital World Growth has no effect on the direction of Income Fund i.e., Income Fund and Capital World go up and down completely randomly.
Pair Corralation between Income Fund and Capital World
Assuming the 90 days horizon Income Fund Of is expected to under-perform the Capital World. But the mutual fund apears to be less risky and, when comparing its historical volatility, Income Fund Of is 1.58 times less risky than Capital World. The mutual fund trades about -0.31 of its potential returns per unit of risk. The Capital World Growth is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest 6,819 in Capital World Growth on September 23, 2024 and sell it today you would lose (450.00) from holding Capital World Growth or give up 6.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Income Fund Of vs. Capital World Growth
Performance |
Timeline |
Income Fund |
Capital World Growth |
Income Fund and Capital World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Income Fund and Capital World
The main advantage of trading using opposite Income Fund and Capital World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Income Fund position performs unexpectedly, Capital World 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 Capital World will offset losses from the drop in Capital World's long position.Income Fund vs. Income Fund Of | Income Fund vs. New World Fund | Income Fund vs. American Mutual Fund | Income Fund vs. American Mutual Fund |
Capital World vs. Capital Income Builder | Capital World vs. Growth Fund Of | Capital World vs. American Funds Fundamental | Capital World vs. Income Fund Of |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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