Correlation Between Lululemon Athletica and Amkor Technology
Can any of the company-specific risk be diversified away by investing in both Lululemon Athletica and Amkor Technology 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 Lululemon Athletica and Amkor Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lululemon Athletica and Amkor Technology, you can compare the effects of market volatilities on Lululemon Athletica and Amkor Technology 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 Lululemon Athletica with a short position of Amkor Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lululemon Athletica and Amkor Technology.
Diversification Opportunities for Lululemon Athletica and Amkor Technology
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lululemon and Amkor is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Lululemon Athletica and Amkor Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amkor Technology and Lululemon Athletica 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 Lululemon Athletica are associated (or correlated) with Amkor Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amkor Technology has no effect on the direction of Lululemon Athletica i.e., Lululemon Athletica and Amkor Technology go up and down completely randomly.
Pair Corralation between Lululemon Athletica and Amkor Technology
Given the investment horizon of 90 days Lululemon Athletica is expected to generate 1.91 times more return on investment than Amkor Technology. However, Lululemon Athletica is 1.91 times more volatile than Amkor Technology. It trades about 0.26 of its potential returns per unit of risk. Amkor Technology is currently generating about 0.04 per unit of risk. If you would invest 30,831 in Lululemon Athletica on September 21, 2024 and sell it today you would earn a total of 7,111 from holding Lululemon Athletica or generate 23.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lululemon Athletica vs. Amkor Technology
Performance |
Timeline |
Lululemon Athletica |
Amkor Technology |
Lululemon Athletica and Amkor Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lululemon Athletica and Amkor Technology
The main advantage of trading using opposite Lululemon Athletica and Amkor Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lululemon Athletica position performs unexpectedly, Amkor Technology 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 Amkor Technology will offset losses from the drop in Amkor Technology's long position.Lululemon Athletica vs. Digital Brands Group | Lululemon Athletica vs. Data Storage | Lululemon Athletica vs. Auddia Inc | Lululemon Athletica vs. DatChat Series A |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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