Correlation Between Starbucks and SEB SA
Can any of the company-specific risk be diversified away by investing in both Starbucks and SEB SA 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 Starbucks and SEB SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Starbucks and SEB SA, you can compare the effects of market volatilities on Starbucks and SEB SA 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 Starbucks with a short position of SEB SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Starbucks and SEB SA.
Diversification Opportunities for Starbucks and SEB SA
Significant diversification
The 3 months correlation between Starbucks and SEB is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Starbucks and SEB SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEB SA and Starbucks 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 Starbucks are associated (or correlated) with SEB SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEB SA has no effect on the direction of Starbucks i.e., Starbucks and SEB SA go up and down completely randomly.
Pair Corralation between Starbucks and SEB SA
Given the investment horizon of 90 days Starbucks is expected to generate 0.26 times more return on investment than SEB SA. However, Starbucks is 3.78 times less risky than SEB SA. It trades about 0.45 of its potential returns per unit of risk. SEB SA is currently generating about -0.23 per unit of risk. If you would invest 8,744 in Starbucks on October 24, 2024 and sell it today you would earn a total of 769.00 from holding Starbucks or generate 8.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 94.74% |
Values | Daily Returns |
Starbucks vs. SEB SA
Performance |
Timeline |
Starbucks |
SEB SA |
Starbucks and SEB SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Starbucks and SEB SA
The main advantage of trading using opposite Starbucks and SEB SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starbucks position performs unexpectedly, SEB SA 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 SEB SA will offset losses from the drop in SEB SA's long position.Starbucks vs. Chipotle Mexican Grill | Starbucks vs. Dominos Pizza Common | Starbucks vs. Yum Brands | Starbucks vs. The Wendys Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |