Correlation Between UWM Holdings and Federal Home
Can any of the company-specific risk be diversified away by investing in both UWM Holdings and Federal Home 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 UWM Holdings and Federal Home into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UWM Holdings Corp and Federal Home Loan, you can compare the effects of market volatilities on UWM Holdings and Federal Home 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 UWM Holdings with a short position of Federal Home. Check out your portfolio center. Please also check ongoing floating volatility patterns of UWM Holdings and Federal Home.
Diversification Opportunities for UWM Holdings and Federal Home
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between UWM and Federal is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding UWM Holdings Corp and Federal Home Loan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Home Loan and UWM Holdings 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 UWM Holdings Corp are associated (or correlated) with Federal Home. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Home Loan has no effect on the direction of UWM Holdings i.e., UWM Holdings and Federal Home go up and down completely randomly.
Pair Corralation between UWM Holdings and Federal Home
Given the investment horizon of 90 days UWM Holdings is expected to generate 6.18 times less return on investment than Federal Home. In addition to that, UWM Holdings is 1.11 times more volatile than Federal Home Loan. It trades about 0.05 of its total potential returns per unit of risk. Federal Home Loan is currently generating about 0.34 per unit of volatility. If you would invest 965.00 in Federal Home Loan on September 12, 2024 and sell it today you would earn a total of 164.00 from holding Federal Home Loan or generate 16.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
UWM Holdings Corp vs. Federal Home Loan
Performance |
Timeline |
UWM Holdings Corp |
Federal Home Loan |
UWM Holdings and Federal Home Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UWM Holdings and Federal Home
The main advantage of trading using opposite UWM Holdings and Federal Home positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UWM Holdings position performs unexpectedly, Federal Home 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 Federal Home will offset losses from the drop in Federal Home's long position.UWM Holdings vs. Loandepot | UWM Holdings vs. Mr Cooper Group | UWM Holdings vs. PennyMac Finl Svcs | UWM Holdings vs. Walker Dunlop |
Federal Home vs. Federal Home Loan | Federal Home vs. Federal Home Loan | Federal Home vs. Federal National Mortgage | Federal Home vs. Federal Home Loan |
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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