Correlation Between Park Hotels and Marine Products
Can any of the company-specific risk be diversified away by investing in both Park Hotels and Marine Products 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 Marine Products 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 Marine Products, you can compare the effects of market volatilities on Park Hotels and Marine Products 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 Marine Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Park Hotels and Marine Products.
Diversification Opportunities for Park Hotels and Marine Products
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Park and Marine is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Park Hotels Resorts and Marine Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marine Products 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 Marine Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marine Products has no effect on the direction of Park Hotels i.e., Park Hotels and Marine Products go up and down completely randomly.
Pair Corralation between Park Hotels and Marine Products
Allowing for the 90-day total investment horizon Park Hotels Resorts is expected to generate 0.79 times more return on investment than Marine Products. However, Park Hotels Resorts is 1.27 times less risky than Marine Products. It trades about 0.03 of its potential returns per unit of risk. Marine Products is currently generating about -0.01 per unit of risk. If you would invest 1,169 in Park Hotels Resorts on October 25, 2024 and sell it today you would earn a total of 204.00 from holding Park Hotels Resorts or generate 17.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Park Hotels Resorts vs. Marine Products
Performance |
Timeline |
Park Hotels Resorts |
Marine Products |
Park Hotels and Marine Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Park Hotels and Marine Products
The main advantage of trading using opposite Park Hotels and Marine Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Park Hotels position performs unexpectedly, Marine Products 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 Marine Products will offset losses from the drop in Marine Products' 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 |
Marine Products vs. Thor Industries | Marine Products vs. BRP Inc | Marine Products vs. Brunswick | Marine Products vs. EZGO Technologies |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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