Correlation Between Walker Dunlop and LIFENET INSURANCE
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and LIFENET INSURANCE 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 LIFENET INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and LIFENET INSURANCE CO, you can compare the effects of market volatilities on Walker Dunlop and LIFENET INSURANCE 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 LIFENET INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and LIFENET INSURANCE.
Diversification Opportunities for Walker Dunlop and LIFENET INSURANCE
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Walker and LIFENET is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and LIFENET INSURANCE CO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LIFENET INSURANCE 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 LIFENET INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LIFENET INSURANCE has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and LIFENET INSURANCE go up and down completely randomly.
Pair Corralation between Walker Dunlop and LIFENET INSURANCE
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 1.65 times less return on investment than LIFENET INSURANCE. But when comparing it to its historical volatility, Walker Dunlop is 1.23 times less risky than LIFENET INSURANCE. It trades about 0.04 of its potential returns per unit of risk. LIFENET INSURANCE CO is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 745.00 in LIFENET INSURANCE CO on August 24, 2024 and sell it today you would earn a total of 455.00 from holding LIFENET INSURANCE CO or generate 61.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.22% |
Values | Daily Returns |
Walker Dunlop vs. LIFENET INSURANCE CO
Performance |
Timeline |
Walker Dunlop |
LIFENET INSURANCE |
Walker Dunlop and LIFENET INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walker Dunlop and LIFENET INSURANCE
The main advantage of trading using opposite Walker Dunlop and LIFENET INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, LIFENET INSURANCE 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 LIFENET INSURANCE will offset losses from the drop in LIFENET INSURANCE's long position.Walker Dunlop vs. Encore Capital Group | Walker Dunlop vs. Federal Home Loan | Walker Dunlop vs. Federal National Mortgage | Walker Dunlop vs. CNFinance Holdings |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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