Correlation Between BOC Hong and China Citic
Can any of the company-specific risk be diversified away by investing in both BOC Hong and China Citic 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 BOC Hong and China Citic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BOC Hong Kong and China Citic Bank, you can compare the effects of market volatilities on BOC Hong and China Citic 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 BOC Hong with a short position of China Citic. Check out your portfolio center. Please also check ongoing floating volatility patterns of BOC Hong and China Citic.
Diversification Opportunities for BOC Hong and China Citic
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BOC and China is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding BOC Hong Kong and China Citic Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Citic Bank and BOC Hong 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 BOC Hong Kong are associated (or correlated) with China Citic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Citic Bank has no effect on the direction of BOC Hong i.e., BOC Hong and China Citic go up and down completely randomly.
Pair Corralation between BOC Hong and China Citic
Assuming the 90 days horizon BOC Hong is expected to generate 4.4 times less return on investment than China Citic. But when comparing it to its historical volatility, BOC Hong Kong is 2.93 times less risky than China Citic. It trades about 0.05 of its potential returns per unit of risk. China Citic Bank is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,055 in China Citic Bank on August 24, 2024 and sell it today you would earn a total of 340.00 from holding China Citic Bank or generate 32.23% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
BOC Hong Kong vs. China Citic Bank
Performance |
| Timeline |
| BOC Hong Kong |
| China Citic Bank |
BOC Hong and China Citic Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BOC Hong and China Citic
The main advantage of trading using opposite BOC Hong and China Citic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BOC Hong position performs unexpectedly, China Citic 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 Citic will offset losses from the drop in China Citic's long position.The idea behind BOC Hong Kong and China Citic Bank pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| China Citic vs. China Everbright Bank | China Citic vs. China Merchants Bank | China Citic vs. Postal Savings Bank | China Citic vs. China Merchants Bank |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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