Correlation Between Washington Mutual and Nasdaq-100(r)
Can any of the company-specific risk be diversified away by investing in both Washington Mutual and Nasdaq-100(r) 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 Washington Mutual and Nasdaq-100(r) into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Washington Mutual Investors and Nasdaq 100 2x Strategy, you can compare the effects of market volatilities on Washington Mutual and Nasdaq-100(r) 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 Washington Mutual with a short position of Nasdaq-100(r). Check out your portfolio center. Please also check ongoing floating volatility patterns of Washington Mutual and Nasdaq-100(r).
Diversification Opportunities for Washington Mutual and Nasdaq-100(r)
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Washington and Nasdaq-100(r) is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Washington Mutual Investors and Nasdaq 100 2x Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 2x and Washington Mutual 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 Washington Mutual Investors are associated (or correlated) with Nasdaq-100(r). Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 2x has no effect on the direction of Washington Mutual i.e., Washington Mutual and Nasdaq-100(r) go up and down completely randomly.
Pair Corralation between Washington Mutual and Nasdaq-100(r)
Assuming the 90 days horizon Washington Mutual Investors is expected to generate 0.28 times more return on investment than Nasdaq-100(r). However, Washington Mutual Investors is 3.53 times less risky than Nasdaq-100(r). It trades about -0.01 of its potential returns per unit of risk. Nasdaq 100 2x Strategy is currently generating about -0.11 per unit of risk. If you would invest 6,091 in Washington Mutual Investors on December 30, 2024 and sell it today you would lose (29.00) from holding Washington Mutual Investors or give up 0.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Washington Mutual Investors vs. Nasdaq 100 2x Strategy
Performance |
Timeline |
Washington Mutual |
Nasdaq 100 2x |
Washington Mutual and Nasdaq-100(r) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Washington Mutual and Nasdaq-100(r)
The main advantage of trading using opposite Washington Mutual and Nasdaq-100(r) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Washington Mutual position performs unexpectedly, Nasdaq-100(r) 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 Nasdaq-100(r) will offset losses from the drop in Nasdaq-100(r)'s long position.Washington Mutual vs. Enhanced Fixed Income | Washington Mutual vs. Touchstone International Equity | Washington Mutual vs. Calvert International Equity | Washington Mutual vs. Artisan Select Equity |
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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 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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