Correlation Between Diageo PLC and Lululemon Athletica
Can any of the company-specific risk be diversified away by investing in both Diageo PLC 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 Diageo PLC and Lululemon Athletica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Diageo PLC ADR and Lululemon Athletica, you can compare the effects of market volatilities on Diageo PLC 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 Diageo PLC with a short position of Lululemon Athletica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Diageo PLC and Lululemon Athletica.
Diversification Opportunities for Diageo PLC and Lululemon Athletica
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Diageo and Lululemon is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Diageo PLC ADR and Lululemon Athletica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lululemon Athletica and Diageo PLC 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 Diageo PLC ADR 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 Diageo PLC i.e., Diageo PLC and Lululemon Athletica go up and down completely randomly.
Pair Corralation between Diageo PLC and Lululemon Athletica
Considering the 90-day investment horizon Diageo PLC is expected to generate 3.39 times less return on investment than Lululemon Athletica. But when comparing it to its historical volatility, Diageo PLC ADR is 2.7 times less risky than Lululemon Athletica. It trades about 0.22 of its potential returns per unit of risk. Lululemon Athletica is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 30,185 in Lululemon Athletica on September 20, 2024 and sell it today you would earn a total of 7,169 from holding Lululemon Athletica or generate 23.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Diageo PLC ADR vs. Lululemon Athletica
Performance |
Timeline |
Diageo PLC ADR |
Lululemon Athletica |
Diageo PLC and Lululemon Athletica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Diageo PLC and Lululemon Athletica
The main advantage of trading using opposite Diageo PLC and Lululemon Athletica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Diageo PLC 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.Diageo PLC vs. Naked Wines plc | Diageo PLC vs. Andrew Peller Limited | Diageo PLC vs. Iconic Brands | Diageo PLC vs. Naked Wines plc |
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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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