Correlation Between BW OFFSHORE and Meliá Hotels
Can any of the company-specific risk be diversified away by investing in both BW OFFSHORE and Meliá 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 BW OFFSHORE and Meliá Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BW OFFSHORE LTD and Meli Hotels International, you can compare the effects of market volatilities on BW OFFSHORE and Meliá 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 BW OFFSHORE with a short position of Meliá Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of BW OFFSHORE and Meliá Hotels.
Diversification Opportunities for BW OFFSHORE and Meliá Hotels
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between XY81 and Meliá is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding BW OFFSHORE LTD and Meli Hotels International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meli Hotels International and BW OFFSHORE 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 BW OFFSHORE LTD are associated (or correlated) with Meliá Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meli Hotels International has no effect on the direction of BW OFFSHORE i.e., BW OFFSHORE and Meliá Hotels go up and down completely randomly.
Pair Corralation between BW OFFSHORE and Meliá Hotels
Assuming the 90 days trading horizon BW OFFSHORE LTD is expected to generate 1.23 times more return on investment than Meliá Hotels. However, BW OFFSHORE is 1.23 times more volatile than Meli Hotels International. It trades about 0.39 of its potential returns per unit of risk. Meli Hotels International is currently generating about 0.0 per unit of risk. If you would invest 231.00 in BW OFFSHORE LTD on October 12, 2024 and sell it today you would earn a total of 34.00 from holding BW OFFSHORE LTD or generate 14.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BW OFFSHORE LTD vs. Meli Hotels International
Performance |
Timeline |
BW OFFSHORE LTD |
Meli Hotels International |
BW OFFSHORE and Meliá Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BW OFFSHORE and Meliá Hotels
The main advantage of trading using opposite BW OFFSHORE and Meliá Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BW OFFSHORE position performs unexpectedly, Meliá 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 Meliá Hotels will offset losses from the drop in Meliá Hotels' long position.BW OFFSHORE vs. COFCO Joycome Foods | BW OFFSHORE vs. CVR Medical Corp | BW OFFSHORE vs. GLOBUS MEDICAL A | BW OFFSHORE vs. TYSON FOODS A |
Meliá Hotels vs. EIDESVIK OFFSHORE NK | Meliá Hotels vs. Charter Communications | Meliá Hotels vs. Singapore Telecommunications Limited | Meliá Hotels vs. BW OFFSHORE LTD |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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