Correlation Between Wells Fargo and Lebenthal Lisanti
Can any of the company-specific risk be diversified away by investing in both Wells Fargo and Lebenthal Lisanti 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 Wells Fargo and Lebenthal Lisanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wells Fargo Ultra and Lebenthal Lisanti Small, you can compare the effects of market volatilities on Wells Fargo and Lebenthal Lisanti 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 Wells Fargo with a short position of Lebenthal Lisanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wells Fargo and Lebenthal Lisanti.
Diversification Opportunities for Wells Fargo and Lebenthal Lisanti
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Wells and LEBENTHAL is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Wells Fargo Ultra and Lebenthal Lisanti Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lebenthal Lisanti Small and Wells Fargo 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 Wells Fargo Ultra are associated (or correlated) with Lebenthal Lisanti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lebenthal Lisanti Small has no effect on the direction of Wells Fargo i.e., Wells Fargo and Lebenthal Lisanti go up and down completely randomly.
Pair Corralation between Wells Fargo and Lebenthal Lisanti
Assuming the 90 days horizon Wells Fargo is expected to generate 2.0 times less return on investment than Lebenthal Lisanti. But when comparing it to its historical volatility, Wells Fargo Ultra is 14.03 times less risky than Lebenthal Lisanti. It trades about 0.27 of its potential returns per unit of risk. Lebenthal Lisanti Small is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,187 in Lebenthal Lisanti Small on October 27, 2024 and sell it today you would earn a total of 17.00 from holding Lebenthal Lisanti Small or generate 0.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wells Fargo Ultra vs. Lebenthal Lisanti Small
Performance |
Timeline |
Wells Fargo Ultra |
Lebenthal Lisanti Small |
Wells Fargo and Lebenthal Lisanti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wells Fargo and Lebenthal Lisanti
The main advantage of trading using opposite Wells Fargo and Lebenthal Lisanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wells Fargo position performs unexpectedly, Lebenthal Lisanti 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 Lebenthal Lisanti will offset losses from the drop in Lebenthal Lisanti's long position.Wells Fargo vs. Calvert International Equity | Wells Fargo vs. Siit Equity Factor | Wells Fargo vs. Gmo Global Equity | Wells Fargo vs. Artisan Select Equity |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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