Correlation Between MELIA HOTELS and Wyndham Hotels
Can any of the company-specific risk be diversified away by investing in both MELIA HOTELS and Wyndham 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 MELIA HOTELS and Wyndham Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MELIA HOTELS and Wyndham Hotels Resorts, you can compare the effects of market volatilities on MELIA HOTELS and Wyndham 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 MELIA HOTELS with a short position of Wyndham Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of MELIA HOTELS and Wyndham Hotels.
Diversification Opportunities for MELIA HOTELS and Wyndham Hotels
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between MELIA and Wyndham is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding MELIA HOTELS and Wyndham Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wyndham Hotels Resorts and MELIA 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 MELIA HOTELS are associated (or correlated) with Wyndham Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wyndham Hotels Resorts has no effect on the direction of MELIA HOTELS i.e., MELIA HOTELS and Wyndham Hotels go up and down completely randomly.
Pair Corralation between MELIA HOTELS and Wyndham Hotels
Assuming the 90 days trading horizon MELIA HOTELS is expected to generate 1.27 times more return on investment than Wyndham Hotels. However, MELIA HOTELS is 1.27 times more volatile than Wyndham Hotels Resorts. It trades about 0.15 of its potential returns per unit of risk. Wyndham Hotels Resorts is currently generating about 0.02 per unit of risk. If you would invest 620.00 in MELIA HOTELS on May 7, 2025 and sell it today you would earn a total of 143.00 from holding MELIA HOTELS or generate 23.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MELIA HOTELS vs. Wyndham Hotels Resorts
Performance |
Timeline |
MELIA HOTELS |
Wyndham Hotels Resorts |
MELIA HOTELS and Wyndham Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MELIA HOTELS and Wyndham Hotels
The main advantage of trading using opposite MELIA HOTELS and Wyndham Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MELIA HOTELS position performs unexpectedly, Wyndham 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 Wyndham Hotels will offset losses from the drop in Wyndham Hotels' long position.MELIA HOTELS vs. Vienna Insurance Group | MELIA HOTELS vs. CARSALESCOM | MELIA HOTELS vs. Motorcar Parts of | MELIA HOTELS vs. GRUPO CARSO A1 |
Wyndham Hotels vs. CVR Medical Corp | Wyndham Hotels vs. Firan Technology Group | Wyndham Hotels vs. BioNTech SE | Wyndham Hotels vs. PEPTONIC MEDICAL |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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