Correlation Between Starbucks and NIP Group
Can any of the company-specific risk be diversified away by investing in both Starbucks and NIP Group 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 NIP Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Starbucks and NIP Group American, you can compare the effects of market volatilities on Starbucks and NIP Group 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 NIP Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Starbucks and NIP Group.
Diversification Opportunities for Starbucks and NIP Group
Excellent diversification
The 3 months correlation between Starbucks and NIP is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Starbucks and NIP Group American in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NIP Group American 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 NIP Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NIP Group American has no effect on the direction of Starbucks i.e., Starbucks and NIP Group go up and down completely randomly.
Pair Corralation between Starbucks and NIP Group
Given the investment horizon of 90 days Starbucks is expected to generate 0.27 times more return on investment than NIP Group. However, Starbucks is 3.76 times less risky than NIP Group. It trades about 0.08 of its potential returns per unit of risk. NIP Group American is currently generating about 0.0 per unit of risk. If you would invest 8,179 in Starbucks on September 2, 2024 and sell it today you would earn a total of 2,067 from holding Starbucks or generate 25.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 71.43% |
Values | Daily Returns |
Starbucks vs. NIP Group American
Performance |
Timeline |
Starbucks |
NIP Group American |
Starbucks and NIP Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Starbucks and NIP Group
The main advantage of trading using opposite Starbucks and NIP Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starbucks position performs unexpectedly, NIP Group 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 NIP Group will offset losses from the drop in NIP Group's long position.The idea behind Starbucks and NIP Group American 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.NIP Group vs. Vera Bradley | NIP Group vs. Nike Inc | NIP Group vs. JD Sports Fashion | NIP Group vs. Burlington Stores |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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