Correlation Between Park Hotels and Starbucks
Can any of the company-specific risk be diversified away by investing in both Park Hotels and Starbucks 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 Park Hotels and Starbucks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Park Hotels Resorts and Starbucks, you can compare the effects of market volatilities on Park Hotels and Starbucks 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 Park Hotels with a short position of Starbucks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Park Hotels and Starbucks.
Diversification Opportunities for Park Hotels and Starbucks
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Park and Starbucks is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Park Hotels Resorts and Starbucks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Starbucks and Park Hotels 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 Park Hotels Resorts are associated (or correlated) with Starbucks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Starbucks has no effect on the direction of Park Hotels i.e., Park Hotels and Starbucks go up and down completely randomly.
Pair Corralation between Park Hotels and Starbucks
Allowing for the 90-day total investment horizon Park Hotels Resorts is expected to under-perform the Starbucks. But the stock apears to be less risky and, when comparing its historical volatility, Park Hotels Resorts is 1.0 times less risky than Starbucks. The stock trades about -0.2 of its potential returns per unit of risk. The Starbucks is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 9,009 in Starbucks on December 28, 2024 and sell it today you would earn a total of 876.00 from holding Starbucks or generate 9.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Park Hotels Resorts vs. Starbucks
Performance |
Timeline |
Park Hotels Resorts |
Starbucks |
Park Hotels and Starbucks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Park Hotels and Starbucks
The main advantage of trading using opposite Park Hotels and Starbucks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Park Hotels position performs unexpectedly, Starbucks 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 Starbucks will offset losses from the drop in Starbucks' long position.Park Hotels vs. Diamondrock Hospitality | Park Hotels vs. Ryman Hospitality Properties | Park Hotels vs. Pebblebrook Hotel Trust | Park Hotels vs. Sunstone Hotel Investors |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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