Correlation Between MELIA HOTELS and CHINA SOUTHN
Can any of the company-specific risk be diversified away by investing in both MELIA HOTELS and CHINA SOUTHN 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 CHINA SOUTHN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MELIA HOTELS and CHINA SOUTHN AIR H , you can compare the effects of market volatilities on MELIA HOTELS and CHINA SOUTHN 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 CHINA SOUTHN. Check out your portfolio center. Please also check ongoing floating volatility patterns of MELIA HOTELS and CHINA SOUTHN.
Diversification Opportunities for MELIA HOTELS and CHINA SOUTHN
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between MELIA and CHINA is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding MELIA HOTELS and CHINA SOUTHN AIR H in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA SOUTHN AIR 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 CHINA SOUTHN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA SOUTHN AIR has no effect on the direction of MELIA HOTELS i.e., MELIA HOTELS and CHINA SOUTHN go up and down completely randomly.
Pair Corralation between MELIA HOTELS and CHINA SOUTHN
Assuming the 90 days trading horizon MELIA HOTELS is expected to generate 0.62 times more return on investment than CHINA SOUTHN. However, MELIA HOTELS is 1.61 times less risky than CHINA SOUTHN. It trades about -0.07 of its potential returns per unit of risk. CHINA SOUTHN AIR H is currently generating about -0.07 per unit of risk. If you would invest 733.00 in MELIA HOTELS on December 23, 2024 and sell it today you would lose (60.00) from holding MELIA HOTELS or give up 8.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MELIA HOTELS vs. CHINA SOUTHN AIR H
Performance |
Timeline |
MELIA HOTELS |
CHINA SOUTHN AIR |
MELIA HOTELS and CHINA SOUTHN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MELIA HOTELS and CHINA SOUTHN
The main advantage of trading using opposite MELIA HOTELS and CHINA SOUTHN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MELIA HOTELS position performs unexpectedly, CHINA SOUTHN 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 CHINA SOUTHN will offset losses from the drop in CHINA SOUTHN's long position.MELIA HOTELS vs. CHIBA BANK | MELIA HOTELS vs. COREBRIDGE FINANCIAL INC | MELIA HOTELS vs. Eurasia Mining Plc | MELIA HOTELS vs. ANGLO ASIAN MINING |
CHINA SOUTHN vs. Treasury Wine Estates | CHINA SOUTHN vs. United Internet AG | CHINA SOUTHN vs. Verizon Communications | CHINA SOUTHN vs. Southwest Airlines Co |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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