Correlation Between Queens Road and Lebenthal Lisanti
Can any of the company-specific risk be diversified away by investing in both Queens Road 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 Queens Road and Lebenthal Lisanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Queens Road Small and Lebenthal Lisanti Small, you can compare the effects of market volatilities on Queens Road 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 Queens Road with a short position of Lebenthal Lisanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Queens Road and Lebenthal Lisanti.
Diversification Opportunities for Queens Road and Lebenthal Lisanti
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Queens and Lebenthal is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Queens Road Small 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 Queens Road 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 Queens Road Small 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 Queens Road i.e., Queens Road and Lebenthal Lisanti go up and down completely randomly.
Pair Corralation between Queens Road and Lebenthal Lisanti
Assuming the 90 days horizon Queens Road is expected to generate 1.42 times less return on investment than Lebenthal Lisanti. But when comparing it to its historical volatility, Queens Road Small is 1.24 times less risky than Lebenthal Lisanti. It trades about 0.18 of its potential returns per unit of risk. Lebenthal Lisanti Small is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,901 in Lebenthal Lisanti Small on September 4, 2024 and sell it today you would earn a total of 343.00 from holding Lebenthal Lisanti Small or generate 18.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Queens Road Small vs. Lebenthal Lisanti Small
Performance |
Timeline |
Queens Road Small |
Lebenthal Lisanti Small |
Queens Road and Lebenthal Lisanti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Queens Road and Lebenthal Lisanti
The main advantage of trading using opposite Queens Road and Lebenthal Lisanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Queens Road 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.Queens Road vs. Northern Small Cap | Queens Road vs. Lord Abbett Diversified | Queens Road vs. Davenport Small Cap | Queens Road vs. Adams Diversified 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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