Correlation Between UWM Holdings and CNFinance Holdings
Can any of the company-specific risk be diversified away by investing in both UWM Holdings and CNFinance Holdings 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 CNFinance Holdings 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 CNFinance Holdings, you can compare the effects of market volatilities on UWM Holdings and CNFinance Holdings 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 CNFinance Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of UWM Holdings and CNFinance Holdings.
Diversification Opportunities for UWM Holdings and CNFinance Holdings
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between UWM and CNFinance is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding UWM Holdings Corp and CNFinance Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CNFinance Holdings 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 CNFinance Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CNFinance Holdings has no effect on the direction of UWM Holdings i.e., UWM Holdings and CNFinance Holdings go up and down completely randomly.
Pair Corralation between UWM Holdings and CNFinance Holdings
Given the investment horizon of 90 days UWM Holdings Corp is expected to under-perform the CNFinance Holdings. But the stock apears to be less risky and, when comparing its historical volatility, UWM Holdings Corp is 4.64 times less risky than CNFinance Holdings. The stock trades about -0.25 of its potential returns per unit of risk. The CNFinance Holdings is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 99.00 in CNFinance Holdings on September 18, 2024 and sell it today you would lose (9.00) from holding CNFinance Holdings or give up 9.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
UWM Holdings Corp vs. CNFinance Holdings
Performance |
Timeline |
UWM Holdings Corp |
CNFinance Holdings |
UWM Holdings and CNFinance Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UWM Holdings and CNFinance Holdings
The main advantage of trading using opposite UWM Holdings and CNFinance Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UWM Holdings position performs unexpectedly, CNFinance Holdings 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 CNFinance Holdings will offset losses from the drop in CNFinance Holdings' long position.UWM Holdings vs. Loandepot | UWM Holdings vs. Mr Cooper Group | UWM Holdings vs. PennyMac Finl Svcs | UWM Holdings vs. Walker Dunlop |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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