Correlation Between Xenia Hotels and POSCO Holdings
Can any of the company-specific risk be diversified away by investing in both Xenia Hotels and POSCO Holdings 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 Xenia Hotels and POSCO Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xenia Hotels Resorts and POSCO Holdings, you can compare the effects of market volatilities on Xenia Hotels and POSCO Holdings 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 Xenia Hotels with a short position of POSCO Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xenia Hotels and POSCO Holdings.
Diversification Opportunities for Xenia Hotels and POSCO Holdings
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Xenia and POSCO is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Xenia Hotels Resorts and POSCO Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POSCO Holdings and Xenia 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 Xenia Hotels Resorts are associated (or correlated) with POSCO Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POSCO Holdings has no effect on the direction of Xenia Hotels i.e., Xenia Hotels and POSCO Holdings go up and down completely randomly.
Pair Corralation between Xenia Hotels and POSCO Holdings
Assuming the 90 days trading horizon Xenia Hotels Resorts is expected to generate 0.53 times more return on investment than POSCO Holdings. However, Xenia Hotels Resorts is 1.89 times less risky than POSCO Holdings. It trades about 0.04 of its potential returns per unit of risk. POSCO Holdings is currently generating about 0.01 per unit of risk. If you would invest 1,137 in Xenia Hotels Resorts on September 12, 2024 and sell it today you would earn a total of 363.00 from holding Xenia Hotels Resorts or generate 31.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.4% |
Values | Daily Returns |
Xenia Hotels Resorts vs. POSCO Holdings
Performance |
Timeline |
Xenia Hotels Resorts |
POSCO Holdings |
Xenia Hotels and POSCO Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xenia Hotels and POSCO Holdings
The main advantage of trading using opposite Xenia Hotels and POSCO Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xenia Hotels position performs unexpectedly, POSCO Holdings 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 POSCO Holdings will offset losses from the drop in POSCO Holdings' long position.Xenia Hotels vs. Host Hotels Resorts | Xenia Hotels vs. Sunstone Hotel Investors | Xenia Hotels vs. Summit Hotel Properties | Xenia Hotels vs. ASHFORD HOSPITTRUST |
POSCO Holdings vs. JJ SNACK FOODS | POSCO Holdings vs. Live Nation Entertainment | POSCO Holdings vs. CNVISION MEDIA | POSCO Holdings vs. XLMedia PLC |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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