Correlation Between China Merchants and Auburn Bancorp
Can any of the company-specific risk be diversified away by investing in both China Merchants and Auburn Bancorp 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 Auburn Bancorp 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 Auburn Bancorp, you can compare the effects of market volatilities on China Merchants and Auburn Bancorp 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 Auburn Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Merchants and Auburn Bancorp.
Diversification Opportunities for China Merchants and Auburn Bancorp
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between China and Auburn is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding China Merchants Bank and Auburn Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Auburn Bancorp 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 Auburn Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Auburn Bancorp has no effect on the direction of China Merchants i.e., China Merchants and Auburn Bancorp go up and down completely randomly.
Pair Corralation between China Merchants and Auburn Bancorp
Assuming the 90 days horizon China Merchants Bank is expected to under-perform the Auburn Bancorp. But the pink sheet apears to be less risky and, when comparing its historical volatility, China Merchants Bank is 1.33 times less risky than Auburn Bancorp. The pink sheet trades about -0.22 of its potential returns per unit of risk. The Auburn Bancorp is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 856.00 in Auburn Bancorp on December 2, 2024 and sell it today you would earn a total of 1.00 from holding Auburn Bancorp or generate 0.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Merchants Bank vs. Auburn Bancorp
Performance |
Timeline |
China Merchants Bank |
Auburn Bancorp |
China Merchants and Auburn Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Merchants and Auburn Bancorp
The main advantage of trading using opposite China Merchants and Auburn Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Merchants position performs unexpectedly, Auburn Bancorp 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 Auburn Bancorp will offset losses from the drop in Auburn Bancorp'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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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