Correlation Between Wyndham Hotels and Old Dominion
Can any of the company-specific risk be diversified away by investing in both Wyndham Hotels and Old Dominion 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 Old Dominion 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 Old Dominion Freight, you can compare the effects of market volatilities on Wyndham Hotels and Old Dominion 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 Old Dominion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wyndham Hotels and Old Dominion.
Diversification Opportunities for Wyndham Hotels and Old Dominion
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Wyndham and Old is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Wyndham Hotels Resorts and Old Dominion Freight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Dominion Freight 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 Old Dominion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Dominion Freight has no effect on the direction of Wyndham Hotels i.e., Wyndham Hotels and Old Dominion go up and down completely randomly.
Pair Corralation between Wyndham Hotels and Old Dominion
Assuming the 90 days horizon Wyndham Hotels is expected to generate 1.12 times less return on investment than Old Dominion. But when comparing it to its historical volatility, Wyndham Hotels Resorts is 1.79 times less risky than Old Dominion. It trades about 0.35 of its potential returns per unit of risk. Old Dominion Freight is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 18,510 in Old Dominion Freight on September 3, 2024 and sell it today you would earn a total of 2,710 from holding Old Dominion Freight or generate 14.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Wyndham Hotels Resorts vs. Old Dominion Freight
Performance |
Timeline |
Wyndham Hotels Resorts |
Old Dominion Freight |
Wyndham Hotels and Old Dominion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wyndham Hotels and Old Dominion
The main advantage of trading using opposite Wyndham Hotels and Old Dominion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wyndham Hotels position performs unexpectedly, Old Dominion 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 Old Dominion will offset losses from the drop in Old Dominion's long position.Wyndham Hotels vs. Salesforce | Wyndham Hotels vs. Cleanaway Waste Management | Wyndham Hotels vs. BII Railway Transportation | Wyndham Hotels vs. BROADSTNET LEADL 00025 |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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