Correlation Between Washington Mutual and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Washington Mutual and Loomis Sayles 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 Loomis Sayles 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 Loomis Sayles Growth, you can compare the effects of market volatilities on Washington Mutual and Loomis Sayles 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 Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Washington Mutual and Loomis Sayles.
Diversification Opportunities for Washington Mutual and Loomis Sayles
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Washington and Loomis is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Washington Mutual Investors and Loomis Sayles Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Growth 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 Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Growth has no effect on the direction of Washington Mutual i.e., Washington Mutual and Loomis Sayles go up and down completely randomly.
Pair Corralation between Washington Mutual and Loomis Sayles
Assuming the 90 days horizon Washington Mutual is expected to generate 2.61 times less return on investment than Loomis Sayles. But when comparing it to its historical volatility, Washington Mutual Investors is 1.56 times less risky than Loomis Sayles. It trades about 0.14 of its potential returns per unit of risk. Loomis Sayles Growth is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 2,671 in Loomis Sayles Growth on August 31, 2024 and sell it today you would earn a total of 430.00 from holding Loomis Sayles Growth or generate 16.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Washington Mutual Investors vs. Loomis Sayles Growth
Performance |
Timeline |
Washington Mutual |
Loomis Sayles Growth |
Washington Mutual and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Washington Mutual and Loomis Sayles
The main advantage of trading using opposite Washington Mutual and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Washington Mutual position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Washington Mutual vs. Aquagold International | Washington Mutual vs. Morningstar Unconstrained Allocation | Washington Mutual vs. Thrivent High Yield | Washington Mutual vs. Via Renewables |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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