Correlation Between Bank of China Limited and Nantong Haixing
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By analyzing existing cross correlation between Bank of China and Nantong Haixing Electronics, you can compare the effects of market volatilities on Bank of China Limited and Nantong Haixing 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 Nantong Haixing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of China Limited and Nantong Haixing.
Diversification Opportunities for Bank of China Limited and Nantong Haixing
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and Nantong is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Bank of China and Nantong Haixing Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nantong Haixing Elec 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 Nantong Haixing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nantong Haixing Elec has no effect on the direction of Bank of China Limited i.e., Bank of China Limited and Nantong Haixing go up and down completely randomly.
Pair Corralation between Bank of China Limited and Nantong Haixing
Assuming the 90 days trading horizon Bank of China is expected to under-perform the Nantong Haixing. But the stock apears to be less risky and, when comparing its historical volatility, Bank of China is 1.74 times less risky than Nantong Haixing. The stock trades about 0.0 of its potential returns per unit of risk. The Nantong Haixing Electronics is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,314 in Nantong Haixing Electronics on December 30, 2024 and sell it today you would earn a total of 143.00 from holding Nantong Haixing Electronics or generate 10.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of China vs. Nantong Haixing Electronics
Performance |
Timeline |
Bank of China Limited |
Nantong Haixing Elec |
Bank of China Limited and Nantong Haixing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of China Limited and Nantong Haixing
The main advantage of trading using opposite Bank of China Limited and Nantong Haixing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of China Limited position performs unexpectedly, Nantong Haixing 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 Nantong Haixing will offset losses from the drop in Nantong Haixing's long position.The idea behind Bank of China and Nantong Haixing Electronics 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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