Correlation Between Income Fund and Washington Mutual
Can any of the company-specific risk be diversified away by investing in both Income Fund and Washington Mutual 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 Washington Mutual 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 Washington Mutual Investors, you can compare the effects of market volatilities on Income Fund and Washington Mutual 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 Washington Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of Income Fund and Washington Mutual.
Diversification Opportunities for Income Fund and Washington Mutual
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Income and Washington is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Income Fund Of and Washington Mutual Investors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Washington Mutual 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 Washington Mutual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Washington Mutual has no effect on the direction of Income Fund i.e., Income Fund and Washington Mutual go up and down completely randomly.
Pair Corralation between Income Fund and Washington Mutual
Assuming the 90 days horizon Income Fund is expected to generate 2.99 times less return on investment than Washington Mutual. But when comparing it to its historical volatility, Income Fund Of is 1.62 times less risky than Washington Mutual. It trades about 0.05 of its potential returns per unit of risk. Washington Mutual Investors is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 6,279 in Washington Mutual Investors on September 16, 2024 and sell it today you would earn a total of 239.00 from holding Washington Mutual Investors or generate 3.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Income Fund Of vs. Washington Mutual Investors
Performance |
Timeline |
Income Fund |
Washington Mutual |
Income Fund and Washington Mutual Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Income Fund and Washington Mutual
The main advantage of trading using opposite Income Fund and Washington Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Income Fund position performs unexpectedly, Washington Mutual 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 Washington Mutual will offset losses from the drop in Washington Mutual's long position.Income Fund vs. Transamerica Intermediate Muni | Income Fund vs. Nuveen Minnesota Municipal | Income Fund vs. Blrc Sgy Mnp | Income Fund vs. Dws Government Money |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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