Correlation Between Playtech Plc and Lululemon Athletica
Can any of the company-specific risk be diversified away by investing in both Playtech 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 Playtech 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 Playtech plc and Lululemon Athletica, you can compare the effects of market volatilities on Playtech 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 Playtech Plc with a short position of Lululemon Athletica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Playtech Plc and Lululemon Athletica.
Diversification Opportunities for Playtech Plc and Lululemon Athletica
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Playtech and Lululemon is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Playtech plc and Lululemon Athletica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lululemon Athletica and Playtech 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 Playtech plc 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 Playtech Plc i.e., Playtech Plc and Lululemon Athletica go up and down completely randomly.
Pair Corralation between Playtech Plc and Lululemon Athletica
Assuming the 90 days horizon Playtech plc is expected to under-perform the Lululemon Athletica. But the pink sheet apears to be less risky and, when comparing its historical volatility, Playtech plc is 5.75 times less risky than Lululemon Athletica. The pink sheet trades about -0.05 of its potential returns per unit of risk. The Lululemon Athletica is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 33,026 in Lululemon Athletica on September 15, 2024 and sell it today you would earn a total of 6,137 from holding Lululemon Athletica or generate 18.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Playtech plc vs. Lululemon Athletica
Performance |
Timeline |
Playtech plc |
Lululemon Athletica |
Playtech Plc and Lululemon Athletica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Playtech Plc and Lululemon Athletica
The main advantage of trading using opposite Playtech Plc and Lululemon Athletica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Playtech 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.Playtech Plc vs. Royal Wins | Playtech Plc vs. Real Luck Group | Playtech Plc vs. Betmakers Technology Group | Playtech Plc vs. Jackpot Digital |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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