Correlation Between Park Hotels and Sun Country
Can any of the company-specific risk be diversified away by investing in both Park Hotels and Sun Country 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 Sun Country 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 Sun Country Airlines, you can compare the effects of market volatilities on Park Hotels and Sun Country 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 Sun Country. Check out your portfolio center. Please also check ongoing floating volatility patterns of Park Hotels and Sun Country.
Diversification Opportunities for Park Hotels and Sun Country
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Park and Sun is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Park Hotels Resorts and Sun Country Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sun Country Airlines 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 Sun Country. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sun Country Airlines has no effect on the direction of Park Hotels i.e., Park Hotels and Sun Country go up and down completely randomly.
Pair Corralation between Park Hotels and Sun Country
Allowing for the 90-day total investment horizon Park Hotels Resorts is expected to generate 0.67 times more return on investment than Sun Country. However, Park Hotels Resorts is 1.5 times less risky than Sun Country. It trades about 0.05 of its potential returns per unit of risk. Sun Country Airlines is currently generating about 0.0 per unit of risk. If you would invest 980.00 in Park Hotels Resorts on August 29, 2024 and sell it today you would earn a total of 556.00 from holding Park Hotels Resorts or generate 56.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Park Hotels Resorts vs. Sun Country Airlines
Performance |
Timeline |
Park Hotels Resorts |
Sun Country Airlines |
Park Hotels and Sun Country Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Park Hotels and Sun Country
The main advantage of trading using opposite Park Hotels and Sun Country positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Park Hotels position performs unexpectedly, Sun Country 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 Sun Country will offset losses from the drop in Sun Country's 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 |
Sun Country vs. Spirit Airlines | Sun Country vs. JetBlue Airways Corp | Sun Country vs. Allegiant Travel | Sun Country vs. Copa Holdings SA |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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