Correlation Between Walker Dunlop and Amundi Index
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and Amundi Index 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 Amundi Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and Amundi Index Solutions, you can compare the effects of market volatilities on Walker Dunlop and Amundi Index 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 Amundi Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and Amundi Index.
Diversification Opportunities for Walker Dunlop and Amundi Index
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Walker and Amundi is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Amundi Index Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amundi Index Solutions 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 Amundi Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amundi Index Solutions has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and Amundi Index go up and down completely randomly.
Pair Corralation between Walker Dunlop and Amundi Index
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 2.44 times more return on investment than Amundi Index. However, Walker Dunlop is 2.44 times more volatile than Amundi Index Solutions. It trades about 0.05 of its potential returns per unit of risk. Amundi Index Solutions is currently generating about 0.04 per unit of risk. If you would invest 7,565 in Walker Dunlop on September 12, 2024 and sell it today you would earn a total of 3,077 from holding Walker Dunlop or generate 40.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.68% |
Values | Daily Returns |
Walker Dunlop vs. Amundi Index Solutions
Performance |
Timeline |
Walker Dunlop |
Amundi Index Solutions |
Walker Dunlop and Amundi Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walker Dunlop and Amundi Index
The main advantage of trading using opposite Walker Dunlop and Amundi Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, Amundi Index 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 Amundi Index will offset losses from the drop in Amundi Index'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 |
Amundi Index vs. Amundi EUR High | Amundi Index vs. Amundi Index Solutions | Amundi Index vs. Amundi MSCI Pacific | Amundi Index vs. Amundi MSCI Europe |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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