Correlation Between Walker Dunlop and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and Credit Suisse 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 Walker Dunlop and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and Credit Suisse Multialternative, you can compare the effects of market volatilities on Walker Dunlop and Credit Suisse 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 Walker Dunlop with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and Credit Suisse.
Diversification Opportunities for Walker Dunlop and Credit Suisse
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Walker and Credit is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Credit Suisse Multialternative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Suisse Multia and Walker Dunlop 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 Walker Dunlop are associated (or correlated) with Credit Suisse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Suisse Multia has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and Credit Suisse go up and down completely randomly.
Pair Corralation between Walker Dunlop and Credit Suisse
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 5.64 times more return on investment than Credit Suisse. However, Walker Dunlop is 5.64 times more volatile than Credit Suisse Multialternative. It trades about 0.02 of its potential returns per unit of risk. Credit Suisse Multialternative is currently generating about -0.05 per unit of risk. If you would invest 7,585 in Walker Dunlop on April 30, 2025 and sell it today you would earn a total of 55.00 from holding Walker Dunlop or generate 0.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Walker Dunlop vs. Credit Suisse Multialternative
Performance |
Timeline |
Walker Dunlop |
Credit Suisse Multia |
Walker Dunlop and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walker Dunlop and Credit Suisse
The main advantage of trading using opposite Walker Dunlop and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, Credit Suisse 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 Credit Suisse will offset losses from the drop in Credit Suisse's long position.Walker Dunlop vs. Encore Capital Group | Walker Dunlop vs. Greystone Housing Impact | Walker Dunlop vs. Kinsale Capital Group | Walker Dunlop vs. Live Oak Bancshares |
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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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