Correlation Between STAG Industrial and Xenia Hotels
Can any of the company-specific risk be diversified away by investing in both STAG Industrial and Xenia Hotels 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 STAG Industrial and Xenia Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STAG Industrial and Xenia Hotels Resorts, you can compare the effects of market volatilities on STAG Industrial and Xenia Hotels 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 STAG Industrial with a short position of Xenia Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of STAG Industrial and Xenia Hotels.
Diversification Opportunities for STAG Industrial and Xenia Hotels
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between STAG and Xenia is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding STAG Industrial and Xenia Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xenia Hotels Resorts and STAG Industrial 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 STAG Industrial are associated (or correlated) with Xenia Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xenia Hotels Resorts has no effect on the direction of STAG Industrial i.e., STAG Industrial and Xenia Hotels go up and down completely randomly.
Pair Corralation between STAG Industrial and Xenia Hotels
Given the investment horizon of 90 days STAG Industrial is expected to under-perform the Xenia Hotels. But the stock apears to be less risky and, when comparing its historical volatility, STAG Industrial is 1.7 times less risky than Xenia Hotels. The stock trades about -0.03 of its potential returns per unit of risk. The Xenia Hotels Resorts is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,466 in Xenia Hotels Resorts on August 31, 2024 and sell it today you would earn a total of 69.00 from holding Xenia Hotels Resorts or generate 4.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STAG Industrial vs. Xenia Hotels Resorts
Performance |
Timeline |
STAG Industrial |
Xenia Hotels Resorts |
STAG Industrial and Xenia Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STAG Industrial and Xenia Hotels
The main advantage of trading using opposite STAG Industrial and Xenia Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STAG Industrial position performs unexpectedly, Xenia Hotels 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 Xenia Hotels will offset losses from the drop in Xenia Hotels' long position.STAG Industrial vs. Public Storage | STAG Industrial vs. Extra Space Storage | STAG Industrial vs. Rexford Industrial Realty | STAG Industrial vs. Innovative Industrial Properties |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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