Correlation Between Lululemon Athletica and Silo Pharma
Can any of the company-specific risk be diversified away by investing in both Lululemon Athletica and Silo Pharma 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 Silo Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lululemon Athletica and Silo Pharma, you can compare the effects of market volatilities on Lululemon Athletica and Silo Pharma 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 Silo Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lululemon Athletica and Silo Pharma.
Diversification Opportunities for Lululemon Athletica and Silo Pharma
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lululemon and Silo is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Lululemon Athletica and Silo Pharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silo Pharma 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 Silo Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silo Pharma has no effect on the direction of Lululemon Athletica i.e., Lululemon Athletica and Silo Pharma go up and down completely randomly.
Pair Corralation between Lululemon Athletica and Silo Pharma
Given the investment horizon of 90 days Lululemon Athletica is expected to generate 0.58 times more return on investment than Silo Pharma. However, Lululemon Athletica is 1.72 times less risky than Silo Pharma. It trades about 0.21 of its potential returns per unit of risk. Silo Pharma is currently generating about -0.05 per unit of risk. If you would invest 25,980 in Lululemon Athletica on September 21, 2024 and sell it today you would earn a total of 11,374 from holding Lululemon Athletica or generate 43.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lululemon Athletica vs. Silo Pharma
Performance |
Timeline |
Lululemon Athletica |
Silo Pharma |
Lululemon Athletica and Silo Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lululemon Athletica and Silo Pharma
The main advantage of trading using opposite Lululemon Athletica and Silo Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lululemon Athletica position performs unexpectedly, Silo Pharma 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 Silo Pharma will offset losses from the drop in Silo Pharma'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 |
Silo Pharma vs. Rezolute | Silo Pharma vs. Anebulo Pharmaceuticals | Silo Pharma vs. Inventiva Sa | Silo Pharma vs. Biocardia |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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