Correlation Between China Merchants and Plumas Bancorp
Can any of the company-specific risk be diversified away by investing in both China Merchants and Plumas 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 Plumas 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 Plumas Bancorp, you can compare the effects of market volatilities on China Merchants and Plumas 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 Plumas Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Merchants and Plumas Bancorp.
Diversification Opportunities for China Merchants and Plumas Bancorp
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between China and Plumas is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding China Merchants Bank and Plumas Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Plumas 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 Plumas Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Plumas Bancorp has no effect on the direction of China Merchants i.e., China Merchants and Plumas Bancorp go up and down completely randomly.
Pair Corralation between China Merchants and Plumas Bancorp
Assuming the 90 days horizon China Merchants Bank is expected to generate 1.13 times more return on investment than Plumas Bancorp. However, China Merchants is 1.13 times more volatile than Plumas Bancorp. It trades about 0.11 of its potential returns per unit of risk. Plumas Bancorp is currently generating about -0.07 per unit of risk. If you would invest 2,540 in China Merchants Bank on December 28, 2024 and sell it today you would earn a total of 377.00 from holding China Merchants Bank or generate 14.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Merchants Bank vs. Plumas Bancorp
Performance |
Timeline |
China Merchants Bank |
Plumas Bancorp |
China Merchants and Plumas Bancorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Merchants and Plumas Bancorp
The main advantage of trading using opposite China Merchants and Plumas Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Merchants position performs unexpectedly, Plumas 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 Plumas Bancorp will offset losses from the drop in Plumas Bancorp's long position.China Merchants vs. China Everbright Bank | China Merchants vs. China Merchants Bank | China Merchants vs. Postal Savings Bank | China Merchants vs. China Citic 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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