Correlation Between Bank of China Limited and Guangzhou Shangpin
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By analyzing existing cross correlation between Bank of China and Guangzhou Shangpin Home, you can compare the effects of market volatilities on Bank of China Limited and Guangzhou Shangpin 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 Bank of China Limited with a short position of Guangzhou Shangpin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of China Limited and Guangzhou Shangpin.
Diversification Opportunities for Bank of China Limited and Guangzhou Shangpin
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bank and Guangzhou is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Bank of China and Guangzhou Shangpin Home in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Shangpin Home and Bank of China Limited 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 Bank of China are associated (or correlated) with Guangzhou Shangpin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Shangpin Home has no effect on the direction of Bank of China Limited i.e., Bank of China Limited and Guangzhou Shangpin go up and down completely randomly.
Pair Corralation between Bank of China Limited and Guangzhou Shangpin
Assuming the 90 days trading horizon Bank of China is expected to under-perform the Guangzhou Shangpin. But the stock apears to be less risky and, when comparing its historical volatility, Bank of China is 2.25 times less risky than Guangzhou Shangpin. The stock trades about 0.0 of its potential returns per unit of risk. The Guangzhou Shangpin Home is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,266 in Guangzhou Shangpin Home on December 30, 2024 and sell it today you would lose (5.00) from holding Guangzhou Shangpin Home or give up 0.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of China vs. Guangzhou Shangpin Home
Performance |
Timeline |
Bank of China Limited |
Guangzhou Shangpin Home |
Bank of China Limited and Guangzhou Shangpin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of China Limited and Guangzhou Shangpin
The main advantage of trading using opposite Bank of China Limited and Guangzhou Shangpin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of China Limited position performs unexpectedly, Guangzhou Shangpin 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 Guangzhou Shangpin will offset losses from the drop in Guangzhou Shangpin's long position.The idea behind Bank of China and Guangzhou Shangpin Home 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.
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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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