Correlation Between BANK OF CHINA and MARKET VECTR
Can any of the company-specific risk be diversified away by investing in both BANK OF CHINA and MARKET VECTR 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 OF CHINA and MARKET VECTR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK OF CHINA and MARKET VECTR RETAIL, you can compare the effects of market volatilities on BANK OF CHINA and MARKET VECTR 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 OF CHINA with a short position of MARKET VECTR. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK OF CHINA and MARKET VECTR.
Diversification Opportunities for BANK OF CHINA and MARKET VECTR
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between BANK and MARKET is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding BANK OF CHINA and MARKET VECTR RETAIL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MARKET VECTR RETAIL and BANK OF CHINA 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 OF CHINA are associated (or correlated) with MARKET VECTR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MARKET VECTR RETAIL has no effect on the direction of BANK OF CHINA i.e., BANK OF CHINA and MARKET VECTR go up and down completely randomly.
Pair Corralation between BANK OF CHINA and MARKET VECTR
Assuming the 90 days trading horizon BANK OF CHINA is expected to generate 5.34 times more return on investment than MARKET VECTR. However, BANK OF CHINA is 5.34 times more volatile than MARKET VECTR RETAIL. It trades about 0.19 of its potential returns per unit of risk. MARKET VECTR RETAIL is currently generating about -0.11 per unit of risk. If you would invest 35.00 in BANK OF CHINA on December 21, 2024 and sell it today you would earn a total of 21.00 from holding BANK OF CHINA or generate 60.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BANK OF CHINA vs. MARKET VECTR RETAIL
Performance |
Timeline |
BANK OF CHINA |
MARKET VECTR RETAIL |
BANK OF CHINA and MARKET VECTR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK OF CHINA and MARKET VECTR
The main advantage of trading using opposite BANK OF CHINA and MARKET VECTR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK OF CHINA position performs unexpectedly, MARKET VECTR 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 MARKET VECTR will offset losses from the drop in MARKET VECTR's long position.BANK OF CHINA vs. Mobilezone Holding AG | BANK OF CHINA vs. T MOBILE US | BANK OF CHINA vs. Geely Automobile Holdings | BANK OF CHINA vs. Chengdu PUTIAN Telecommunications |
MARKET VECTR vs. Fukuyama Transporting Co | MARKET VECTR vs. Columbia Sportswear | MARKET VECTR vs. AIR PRODCHEMICALS | MARKET VECTR vs. Transport International Holdings |
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 Stocks Directory module to find actively traded stocks across global markets.
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