Correlation Between Starbucks and Arista Networks
Can any of the company-specific risk be diversified away by investing in both Starbucks and Arista Networks 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 Arista Networks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Starbucks and Arista Networks, you can compare the effects of market volatilities on Starbucks and Arista Networks 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 Arista Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Starbucks and Arista Networks.
Diversification Opportunities for Starbucks and Arista Networks
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Starbucks and Arista is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Starbucks and Arista Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arista Networks 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 Arista Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arista Networks has no effect on the direction of Starbucks i.e., Starbucks and Arista Networks go up and down completely randomly.
Pair Corralation between Starbucks and Arista Networks
Assuming the 90 days trading horizon Starbucks is expected to generate 3.29 times less return on investment than Arista Networks. But when comparing it to its historical volatility, Starbucks is 1.85 times less risky than Arista Networks. It trades about 0.09 of its potential returns per unit of risk. Arista Networks is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 12,479 in Arista Networks on September 12, 2024 and sell it today you would earn a total of 3,336 from holding Arista Networks or generate 26.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Starbucks vs. Arista Networks
Performance |
| Timeline |
| Starbucks |
| Arista Networks |
Starbucks and Arista Networks Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Starbucks and Arista Networks
The main advantage of trading using opposite Starbucks and Arista Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starbucks position performs unexpectedly, Arista Networks 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 Arista Networks will offset losses from the drop in Arista Networks' long position.| Starbucks vs. McDonalds | Starbucks vs. International Meal | Starbucks vs. Energisa SA | Starbucks vs. BTG Pactual Logstica |
| Arista Networks vs. Uber Technologies | Arista Networks vs. Zoom Video Communications | Arista Networks vs. Livetech da Bahia | Arista Networks vs. Marvell Technology |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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