Correlation Between Salesforce and Lebenthal Lisanti
Can any of the company-specific risk be diversified away by investing in both Salesforce 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 Salesforce and Lebenthal Lisanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salesforce and Lebenthal Lisanti Small, you can compare the effects of market volatilities on Salesforce 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 Salesforce with a short position of Lebenthal Lisanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and Lebenthal Lisanti.
Diversification Opportunities for Salesforce and Lebenthal Lisanti
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Salesforce and Lebenthal is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce 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 Salesforce 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 Salesforce 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 Salesforce i.e., Salesforce and Lebenthal Lisanti go up and down completely randomly.
Pair Corralation between Salesforce and Lebenthal Lisanti
Considering the 90-day investment horizon Salesforce is expected to generate 1.24 times more return on investment than Lebenthal Lisanti. However, Salesforce is 1.24 times more volatile than Lebenthal Lisanti Small. It trades about 0.38 of its potential returns per unit of risk. Lebenthal Lisanti Small is currently generating about 0.15 per unit of risk. If you would invest 28,443 in Salesforce on August 24, 2024 and sell it today you would earn a total of 5,135 from holding Salesforce or generate 18.05% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 95.65% |
| Values | Daily Returns |
Salesforce vs. Lebenthal Lisanti Small
Performance |
| Timeline |
| Salesforce |
| Lebenthal Lisanti Small |
Salesforce and Lebenthal Lisanti Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Salesforce and Lebenthal Lisanti
The main advantage of trading using opposite Salesforce and Lebenthal Lisanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce 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.| Salesforce vs. Zoom Video Communications | Salesforce vs. C3 Ai Inc | Salesforce vs. Shopify | Salesforce vs. Workday |
| Lebenthal Lisanti vs. Lord Abbett Growth | Lebenthal Lisanti vs. Queens Road Small | Lebenthal Lisanti vs. Eaton Vance Large Cap |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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