Correlation Between Starbucks and Collins Foods
Can any of the company-specific risk be diversified away by investing in both Starbucks and Collins Foods 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 Collins Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Starbucks and Collins Foods Limited, you can compare the effects of market volatilities on Starbucks and Collins Foods 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 Collins Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Starbucks and Collins Foods.
Diversification Opportunities for Starbucks and Collins Foods
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Starbucks and Collins is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Starbucks and Collins Foods Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Collins Foods Limited 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 Collins Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Collins Foods Limited has no effect on the direction of Starbucks i.e., Starbucks and Collins Foods go up and down completely randomly.
Pair Corralation between Starbucks and Collins Foods
Assuming the 90 days horizon Starbucks is expected to generate 2.56 times less return on investment than Collins Foods. But when comparing it to its historical volatility, Starbucks is 1.11 times less risky than Collins Foods. It trades about 0.01 of its potential returns per unit of risk. Collins Foods Limited is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 435.00 in Collins Foods Limited on September 1, 2024 and sell it today you would earn a total of 95.00 from holding Collins Foods Limited or generate 21.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Starbucks vs. Collins Foods Limited
Performance |
Timeline |
Starbucks |
Collins Foods Limited |
Starbucks and Collins Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Starbucks and Collins Foods
The main advantage of trading using opposite Starbucks and Collins Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starbucks position performs unexpectedly, Collins Foods 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 Collins Foods will offset losses from the drop in Collins Foods' long position.The idea behind Starbucks and Collins Foods Limited pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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