Correlation Between RLJ Lodging and Aluminumof China
Can any of the company-specific risk be diversified away by investing in both RLJ Lodging and Aluminumof China 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 Aluminumof China 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 Aluminum of, you can compare the effects of market volatilities on RLJ Lodging and Aluminumof China 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 Aluminumof China. Check out your portfolio center. Please also check ongoing floating volatility patterns of RLJ Lodging and Aluminumof China.
Diversification Opportunities for RLJ Lodging and Aluminumof China
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between RLJ and Aluminumof is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding RLJ Lodging Trust and Aluminum of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aluminumof China 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 Aluminumof China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aluminumof China has no effect on the direction of RLJ Lodging i.e., RLJ Lodging and Aluminumof China go up and down completely randomly.
Pair Corralation between RLJ Lodging and Aluminumof China
Assuming the 90 days trading horizon RLJ Lodging is expected to generate 5.54 times less return on investment than Aluminumof China. But when comparing it to its historical volatility, RLJ Lodging Trust is 8.89 times less risky than Aluminumof China. It trades about 0.06 of its potential returns per unit of risk. Aluminum of is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 54.00 in Aluminum of on October 26, 2024 and sell it today you would earn a total of 11.00 from holding Aluminum of or generate 20.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 78.54% |
Values | Daily Returns |
RLJ Lodging Trust vs. Aluminum of
Performance |
Timeline |
RLJ Lodging Trust |
Aluminumof China |
RLJ Lodging and Aluminumof China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RLJ Lodging and Aluminumof China
The main advantage of trading using opposite RLJ Lodging and Aluminumof China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RLJ Lodging position performs unexpectedly, Aluminumof China 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 Aluminumof China will offset losses from the drop in Aluminumof China'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 |
Aluminumof China vs. Air China Limited | Aluminumof China vs. COSCO SHIPPING Holdings | Aluminumof China vs. Zijin Mining Group | Aluminumof China vs. Bank of China |
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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