Correlation Between Lincoln National and Genworth Financial
Can any of the company-specific risk be diversified away by investing in both Lincoln National and Genworth Financial 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 Lincoln National and Genworth Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lincoln National and Genworth Financial, you can compare the effects of market volatilities on Lincoln National and Genworth Financial 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 Lincoln National with a short position of Genworth Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lincoln National and Genworth Financial.
Diversification Opportunities for Lincoln National and Genworth Financial
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lincoln and Genworth is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Lincoln National and Genworth Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genworth Financial and Lincoln National 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 Lincoln National are associated (or correlated) with Genworth Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genworth Financial has no effect on the direction of Lincoln National i.e., Lincoln National and Genworth Financial go up and down completely randomly.
Pair Corralation between Lincoln National and Genworth Financial
Considering the 90-day investment horizon Lincoln National is expected to generate 1.48 times more return on investment than Genworth Financial. However, Lincoln National is 1.48 times more volatile than Genworth Financial. It trades about 0.09 of its potential returns per unit of risk. Genworth Financial is currently generating about 0.12 per unit of risk. If you would invest 3,124 in Lincoln National on September 3, 2024 and sell it today you would earn a total of 430.00 from holding Lincoln National or generate 13.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lincoln National vs. Genworth Financial
Performance |
Timeline |
Lincoln National |
Genworth Financial |
Lincoln National and Genworth Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lincoln National and Genworth Financial
The main advantage of trading using opposite Lincoln National and Genworth Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lincoln National position performs unexpectedly, Genworth Financial 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 Genworth Financial will offset losses from the drop in Genworth Financial's long position.Lincoln National vs. MetLife | Lincoln National vs. Aflac Incorporated | Lincoln National vs. Unum Group | Lincoln National vs. Manulife Financial Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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