Correlation Between CHINA HUARONG and Commonwealth Bank
Can any of the company-specific risk be diversified away by investing in both CHINA HUARONG and Commonwealth Bank 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 CHINA HUARONG and Commonwealth Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA HUARONG ENERHD 50 and Commonwealth Bank of, you can compare the effects of market volatilities on CHINA HUARONG and Commonwealth Bank 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 CHINA HUARONG with a short position of Commonwealth Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA HUARONG and Commonwealth Bank.
Diversification Opportunities for CHINA HUARONG and Commonwealth Bank
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between CHINA and Commonwealth is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding CHINA HUARONG ENERHD 50 and Commonwealth Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commonwealth Bank and CHINA HUARONG 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 CHINA HUARONG ENERHD 50 are associated (or correlated) with Commonwealth Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commonwealth Bank has no effect on the direction of CHINA HUARONG i.e., CHINA HUARONG and Commonwealth Bank go up and down completely randomly.
Pair Corralation between CHINA HUARONG and Commonwealth Bank
Assuming the 90 days trading horizon CHINA HUARONG ENERHD 50 is expected to generate 22.9 times more return on investment than Commonwealth Bank. However, CHINA HUARONG is 22.9 times more volatile than Commonwealth Bank of. It trades about 0.14 of its potential returns per unit of risk. Commonwealth Bank of is currently generating about 0.13 per unit of risk. If you would invest 0.05 in CHINA HUARONG ENERHD 50 on September 13, 2024 and sell it today you would earn a total of 0.10 from holding CHINA HUARONG ENERHD 50 or generate 200.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA HUARONG ENERHD 50 vs. Commonwealth Bank of
Performance |
Timeline |
CHINA HUARONG ENERHD |
Commonwealth Bank |
CHINA HUARONG and Commonwealth Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA HUARONG and Commonwealth Bank
The main advantage of trading using opposite CHINA HUARONG and Commonwealth Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA HUARONG position performs unexpectedly, Commonwealth Bank 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 Commonwealth Bank will offset losses from the drop in Commonwealth Bank's long position.CHINA HUARONG vs. WILLIS LEASE FIN | CHINA HUARONG vs. SAFETY MEDICAL PROD | CHINA HUARONG vs. AVITA Medical | CHINA HUARONG vs. CarsalesCom |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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