Correlation Between Wyndham Hotels and Tuniu Corp
Can any of the company-specific risk be diversified away by investing in both Wyndham Hotels and Tuniu Corp 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 Wyndham Hotels and Tuniu Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wyndham Hotels Resorts and Tuniu Corp, you can compare the effects of market volatilities on Wyndham Hotels and Tuniu Corp 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 Wyndham Hotels with a short position of Tuniu Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wyndham Hotels and Tuniu Corp.
Diversification Opportunities for Wyndham Hotels and Tuniu Corp
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Wyndham and Tuniu is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Wyndham Hotels Resorts and Tuniu Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tuniu Corp and Wyndham 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 Wyndham Hotels Resorts are associated (or correlated) with Tuniu Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tuniu Corp has no effect on the direction of Wyndham Hotels i.e., Wyndham Hotels and Tuniu Corp go up and down completely randomly.
Pair Corralation between Wyndham Hotels and Tuniu Corp
Allowing for the 90-day total investment horizon Wyndham Hotels is expected to generate 1.37 times less return on investment than Tuniu Corp. But when comparing it to its historical volatility, Wyndham Hotels Resorts is 3.06 times less risky than Tuniu Corp. It trades about 0.07 of its potential returns per unit of risk. Tuniu Corp is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 85.00 in Tuniu Corp on September 28, 2024 and sell it today you would earn a total of 12.02 from holding Tuniu Corp or generate 14.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wyndham Hotels Resorts vs. Tuniu Corp
Performance |
Timeline |
Wyndham Hotels Resorts |
Tuniu Corp |
Wyndham Hotels and Tuniu Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wyndham Hotels and Tuniu Corp
The main advantage of trading using opposite Wyndham Hotels and Tuniu Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wyndham Hotels position performs unexpectedly, Tuniu Corp 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 Tuniu Corp will offset losses from the drop in Tuniu Corp's long position.Wyndham Hotels vs. InterContinental Hotels Group | Wyndham Hotels vs. Hyatt Hotels | Wyndham Hotels vs. Hilton Worldwide Holdings | Wyndham Hotels vs. Marriott International |
Tuniu Corp vs. TripAdvisor | Tuniu Corp vs. MakeMyTrip Limited | Tuniu Corp vs. Booking Holdings | Tuniu Corp vs. Despegar Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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