Correlation Between BANK MANDIRI and CHINA SOUTHN
Can any of the company-specific risk be diversified away by investing in both BANK MANDIRI 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 BANK MANDIRI and CHINA SOUTHN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK MANDIRI and CHINA SOUTHN AIR H , you can compare the effects of market volatilities on BANK MANDIRI 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 BANK MANDIRI with a short position of CHINA SOUTHN. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK MANDIRI and CHINA SOUTHN.
Diversification Opportunities for BANK MANDIRI and CHINA SOUTHN
-0.87 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BANK and CHINA is -0.87. Overlapping area represents the amount of risk that can be diversified away by holding BANK MANDIRI 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 BANK MANDIRI 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 BANK MANDIRI 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 BANK MANDIRI i.e., BANK MANDIRI and CHINA SOUTHN go up and down completely randomly.
Pair Corralation between BANK MANDIRI and CHINA SOUTHN
Assuming the 90 days trading horizon BANK MANDIRI is expected to under-perform the CHINA SOUTHN. But the stock apears to be less risky and, when comparing its historical volatility, BANK MANDIRI is 1.24 times less risky than CHINA SOUTHN. The stock trades about -0.16 of its potential returns per unit of risk. The CHINA SOUTHN AIR H is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 36.00 in CHINA SOUTHN AIR H on October 22, 2024 and sell it today you would earn a total of 12.00 from holding CHINA SOUTHN AIR H or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BANK MANDIRI vs. CHINA SOUTHN AIR H
Performance |
Timeline |
BANK MANDIRI |
CHINA SOUTHN AIR |
BANK MANDIRI and CHINA SOUTHN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK MANDIRI and CHINA SOUTHN
The main advantage of trading using opposite BANK MANDIRI and CHINA SOUTHN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK MANDIRI 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.BANK MANDIRI vs. GALENA MINING LTD | BANK MANDIRI vs. Zijin Mining Group | BANK MANDIRI vs. MINCO SILVER | BANK MANDIRI vs. PARKEN Sport Entertainment |
CHINA SOUTHN vs. Park Hotels Resorts | CHINA SOUTHN vs. Taiwan Semiconductor Manufacturing | CHINA SOUTHN vs. Dalata Hotel Group | CHINA SOUTHN vs. NXP Semiconductors NV |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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