Correlation Between Wyndham Hotels and Regions Financial
Can any of the company-specific risk be diversified away by investing in both Wyndham Hotels and Regions Financial 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 Regions Financial 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 Regions Financial Corp, you can compare the effects of market volatilities on Wyndham Hotels and Regions Financial 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 Regions Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wyndham Hotels and Regions Financial.
Diversification Opportunities for Wyndham Hotels and Regions Financial
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Wyndham and Regions is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Wyndham Hotels Resorts and Regions Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regions Financial 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 Regions Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regions Financial Corp has no effect on the direction of Wyndham Hotels i.e., Wyndham Hotels and Regions Financial go up and down completely randomly.
Pair Corralation between Wyndham Hotels and Regions Financial
Assuming the 90 days trading horizon Wyndham Hotels Resorts is expected to generate 1.07 times more return on investment than Regions Financial. However, Wyndham Hotels is 1.07 times more volatile than Regions Financial Corp. It trades about 0.23 of its potential returns per unit of risk. Regions Financial Corp is currently generating about 0.04 per unit of risk. If you would invest 7,793 in Wyndham Hotels Resorts on October 7, 2024 and sell it today you would earn a total of 2,239 from holding Wyndham Hotels Resorts or generate 28.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Wyndham Hotels Resorts vs. Regions Financial Corp
Performance |
Timeline |
Wyndham Hotels Resorts |
Regions Financial Corp |
Wyndham Hotels and Regions Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wyndham Hotels and Regions Financial
The main advantage of trading using opposite Wyndham Hotels and Regions Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wyndham Hotels position performs unexpectedly, Regions Financial 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 Regions Financial will offset losses from the drop in Regions Financial's long position.Wyndham Hotels vs. Aeorema Communications Plc | Wyndham Hotels vs. Pets at Home | Wyndham Hotels vs. Park Hotels Resorts | Wyndham Hotels vs. Universal Display Corp |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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