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 Modity, 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
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Walker and Credit is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Credit Suisse Modity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Suisse Modity 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 Modity 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 2.98 times more return on investment than Credit Suisse. However, Walker Dunlop is 2.98 times more volatile than Credit Suisse Modity. It trades about 0.04 of its potential returns per unit of risk. Credit Suisse Modity is currently generating about 0.01 per unit of risk. If you would invest 8,615 in Walker Dunlop on August 26, 2024 and sell it today you would earn a total of 2,234 from holding Walker Dunlop or generate 25.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Walker Dunlop vs. Credit Suisse Modity
Performance |
Timeline |
Walker Dunlop |
Credit Suisse Modity |
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. Mr Cooper Group | Walker Dunlop vs. Velocity Financial Llc | Walker Dunlop vs. Security National Financial | Walker Dunlop vs. Encore Capital Group |
Credit Suisse vs. Credit Suisse Floating | Credit Suisse vs. Credit Suisse Modity | Credit Suisse vs. Credit Suisse Managed | Credit Suisse vs. Credit Suisse Floating |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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