Correlation Between SEI Investments and Lululemon Athletica
Can any of the company-specific risk be diversified away by investing in both SEI Investments and Lululemon Athletica 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 SEI Investments and Lululemon Athletica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEI Investments and Lululemon Athletica, you can compare the effects of market volatilities on SEI Investments and Lululemon Athletica 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 SEI Investments with a short position of Lululemon Athletica. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEI Investments and Lululemon Athletica.
Diversification Opportunities for SEI Investments and Lululemon Athletica
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SEI and Lululemon is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding SEI Investments and Lululemon Athletica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lululemon Athletica and SEI Investments 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 SEI Investments are associated (or correlated) with Lululemon Athletica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lululemon Athletica has no effect on the direction of SEI Investments i.e., SEI Investments and Lululemon Athletica go up and down completely randomly.
Pair Corralation between SEI Investments and Lululemon Athletica
Given the investment horizon of 90 days SEI Investments is expected to generate 0.5 times more return on investment than Lululemon Athletica. However, SEI Investments is 2.0 times less risky than Lululemon Athletica. It trades about 0.07 of its potential returns per unit of risk. Lululemon Athletica is currently generating about 0.03 per unit of risk. If you would invest 5,377 in SEI Investments on December 4, 2024 and sell it today you would earn a total of 2,237 from holding SEI Investments or generate 41.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SEI Investments vs. Lululemon Athletica
Performance |
| Timeline |
| SEI Investments |
| Lululemon Athletica |
SEI Investments and Lululemon Athletica Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SEI Investments and Lululemon Athletica
The main advantage of trading using opposite SEI Investments and Lululemon Athletica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEI Investments position performs unexpectedly, Lululemon Athletica 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 Lululemon Athletica will offset losses from the drop in Lululemon Athletica's long position.| SEI Investments vs. Commerce Bancshares | SEI Investments vs. RLI Corp | SEI Investments vs. Westamerica Bancorporation | SEI Investments vs. Brown Brown |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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