Correlation Between Huaneng Power and Meliá Hotels
Can any of the company-specific risk be diversified away by investing in both Huaneng Power 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 Huaneng Power and Meliá Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huaneng Power International and Meli Hotels International, you can compare the effects of market volatilities on Huaneng Power 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 Huaneng Power with a short position of Meliá Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huaneng Power and Meliá Hotels.
Diversification Opportunities for Huaneng Power and Meliá Hotels
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Huaneng and Meliá is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Huaneng Power International 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 Huaneng Power 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 Huaneng Power International 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 Huaneng Power i.e., Huaneng Power and Meliá Hotels go up and down completely randomly.
Pair Corralation between Huaneng Power and Meliá Hotels
Assuming the 90 days trading horizon Huaneng Power International is expected to generate 2.29 times more return on investment than Meliá Hotels. However, Huaneng Power is 2.29 times more volatile than Meli Hotels International. It trades about 0.05 of its potential returns per unit of risk. Meli Hotels International is currently generating about 0.04 per unit of risk. If you would invest 29.00 in Huaneng Power International on October 4, 2024 and sell it today you would earn a total of 21.00 from holding Huaneng Power International or generate 72.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Huaneng Power International vs. Meli Hotels International
Performance |
Timeline |
Huaneng Power Intern |
Meli Hotels International |
Huaneng Power and Meliá Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huaneng Power and Meliá Hotels
The main advantage of trading using opposite Huaneng Power and Meliá Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huaneng Power 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.Huaneng Power vs. INTERSHOP Communications Aktiengesellschaft | Huaneng Power vs. GMO Internet | Huaneng Power vs. Highlight Communications AG | Huaneng Power vs. MCEWEN MINING INC |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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