Correlation Between RLJ Lodging and Qurate Retail
Can any of the company-specific risk be diversified away by investing in both RLJ Lodging and Qurate Retail 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 RLJ Lodging and Qurate Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RLJ Lodging Trust and Qurate Retail Series, you can compare the effects of market volatilities on RLJ Lodging and Qurate Retail 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 RLJ Lodging with a short position of Qurate Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of RLJ Lodging and Qurate Retail.
Diversification Opportunities for RLJ Lodging and Qurate Retail
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between RLJ and Qurate is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding RLJ Lodging Trust and Qurate Retail Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qurate Retail Series and RLJ Lodging 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 RLJ Lodging Trust are associated (or correlated) with Qurate Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qurate Retail Series has no effect on the direction of RLJ Lodging i.e., RLJ Lodging and Qurate Retail go up and down completely randomly.
Pair Corralation between RLJ Lodging and Qurate Retail
Assuming the 90 days trading horizon RLJ Lodging Trust is expected to generate 0.05 times more return on investment than Qurate Retail. However, RLJ Lodging Trust is 19.34 times less risky than Qurate Retail. It trades about -0.04 of its potential returns per unit of risk. Qurate Retail Series is currently generating about -0.07 per unit of risk. If you would invest 2,525 in RLJ Lodging Trust on November 20, 2024 and sell it today you would lose (6.00) from holding RLJ Lodging Trust or give up 0.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
RLJ Lodging Trust vs. Qurate Retail Series
Performance |
Timeline |
RLJ Lodging Trust |
Qurate Retail Series |
RLJ Lodging and Qurate Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RLJ Lodging and Qurate Retail
The main advantage of trading using opposite RLJ Lodging and Qurate Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RLJ Lodging position performs unexpectedly, Qurate Retail 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 Qurate Retail will offset losses from the drop in Qurate Retail's long position.RLJ Lodging vs. Diamondrock Hospitality | RLJ Lodging vs. Summit Hotel Properties | RLJ Lodging vs. Pebblebrook Hotel Trust | RLJ Lodging vs. Sunstone Hotel Investors |
Qurate Retail vs. Qurate Retail | Qurate Retail vs. Newegg Commerce | Qurate Retail vs. Kidpik Corp | Qurate Retail vs. Natural Health Trend |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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