Correlation Between Lebenthal Lisanti and Hcm Dividend
Can any of the company-specific risk be diversified away by investing in both Lebenthal Lisanti and Hcm Dividend 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 Lebenthal Lisanti and Hcm Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lebenthal Lisanti Small and Hcm Dividend Sector, you can compare the effects of market volatilities on Lebenthal Lisanti and Hcm Dividend 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 Lebenthal Lisanti with a short position of Hcm Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lebenthal Lisanti and Hcm Dividend.
Diversification Opportunities for Lebenthal Lisanti and Hcm Dividend
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Lebenthal and Hcm is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Lebenthal Lisanti Small and Hcm Dividend Sector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hcm Dividend Sector and Lebenthal Lisanti 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 Lebenthal Lisanti Small are associated (or correlated) with Hcm Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hcm Dividend Sector has no effect on the direction of Lebenthal Lisanti i.e., Lebenthal Lisanti and Hcm Dividend go up and down completely randomly.
Pair Corralation between Lebenthal Lisanti and Hcm Dividend
Assuming the 90 days horizon Lebenthal Lisanti Small is expected to generate 1.17 times more return on investment than Hcm Dividend. However, Lebenthal Lisanti is 1.17 times more volatile than Hcm Dividend Sector. It trades about 0.16 of its potential returns per unit of risk. Hcm Dividend Sector is currently generating about 0.12 per unit of risk. If you would invest 2,041 in Lebenthal Lisanti Small on August 30, 2024 and sell it today you would earn a total of 195.00 from holding Lebenthal Lisanti Small or generate 9.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lebenthal Lisanti Small vs. Hcm Dividend Sector
Performance |
| Timeline |
| Lebenthal Lisanti Small |
| Hcm Dividend Sector |
Lebenthal Lisanti and Hcm Dividend Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lebenthal Lisanti and Hcm Dividend
The main advantage of trading using opposite Lebenthal Lisanti and Hcm Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lebenthal Lisanti position performs unexpectedly, Hcm Dividend 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 Hcm Dividend will offset losses from the drop in Hcm Dividend's long position.| Lebenthal Lisanti vs. Lord Abbett Growth | Lebenthal Lisanti vs. Queens Road Small | Lebenthal Lisanti vs. Eaton Vance Large Cap |
| Hcm Dividend vs. Hcm Tactical Growth | Hcm Dividend vs. Hcm Dynamic Income | Hcm Dividend vs. Hcm Dividend Sector | Hcm Dividend vs. Hcm Tactical Growth |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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