Correlation Between China Merchants and First Community
Can any of the company-specific risk be diversified away by investing in both China Merchants and First Community 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 Merchants and First Community into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Merchants Bank and First Community Financial, you can compare the effects of market volatilities on China Merchants and First Community 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 Merchants with a short position of First Community. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Merchants and First Community.
Diversification Opportunities for China Merchants and First Community
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between China and First is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding China Merchants Bank and First Community Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Community Financial and China Merchants 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 Merchants Bank are associated (or correlated) with First Community. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Community Financial has no effect on the direction of China Merchants i.e., China Merchants and First Community go up and down completely randomly.
Pair Corralation between China Merchants and First Community
Assuming the 90 days horizon China Merchants Bank is expected to generate 3.36 times more return on investment than First Community. However, China Merchants is 3.36 times more volatile than First Community Financial. It trades about 0.03 of its potential returns per unit of risk. First Community Financial is currently generating about -0.08 per unit of risk. If you would invest 427.00 in China Merchants Bank on September 12, 2024 and sell it today you would earn a total of 43.00 from holding China Merchants Bank or generate 10.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 55.97% |
Values | Daily Returns |
China Merchants Bank vs. First Community Financial
Performance |
Timeline |
China Merchants Bank |
First Community Financial |
China Merchants and First Community Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Merchants and First Community
The main advantage of trading using opposite China Merchants and First Community positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Merchants position performs unexpectedly, First Community 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 First Community will offset losses from the drop in First Community's long position.China Merchants vs. China Everbright Bank | China Merchants vs. Postal Savings Bank | China Merchants vs. China Citic Bank | China Merchants vs. China Merchants Bank |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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