Correlation Between Qiming Information and Bank of Communications
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By analyzing existing cross correlation between Qiming Information Technology and Bank of Communications, you can compare the effects of market volatilities on Qiming Information and Bank of Communications 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 Qiming Information with a short position of Bank of Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qiming Information and Bank of Communications.
Diversification Opportunities for Qiming Information and Bank of Communications
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Qiming and Bank is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Qiming Information Technology and Bank of Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Communications and Qiming Information 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 Qiming Information Technology are associated (or correlated) with Bank of Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Communications has no effect on the direction of Qiming Information i.e., Qiming Information and Bank of Communications go up and down completely randomly.
Pair Corralation between Qiming Information and Bank of Communications
Assuming the 90 days trading horizon Qiming Information is expected to generate 6.9 times less return on investment than Bank of Communications. In addition to that, Qiming Information is 3.21 times more volatile than Bank of Communications. It trades about 0.0 of its total potential returns per unit of risk. Bank of Communications is currently generating about 0.05 per unit of volatility. If you would invest 740.00 in Bank of Communications on September 28, 2024 and sell it today you would earn a total of 30.00 from holding Bank of Communications or generate 4.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Qiming Information Technology vs. Bank of Communications
Performance |
Timeline |
Qiming Information |
Bank of Communications |
Qiming Information and Bank of Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qiming Information and Bank of Communications
The main advantage of trading using opposite Qiming Information and Bank of Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qiming Information position performs unexpectedly, Bank of Communications 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 Bank of Communications will offset losses from the drop in Bank of Communications' long position.Qiming Information vs. Shenzhen SDG Information | Qiming Information vs. ChengDu Hi Tech Development | Qiming Information vs. Zhuhai Comleader Information | Qiming Information vs. ButOne Information Corp |
Bank of Communications vs. Industrial and Commercial | Bank of Communications vs. Kweichow Moutai Co | Bank of Communications vs. Agricultural Bank of | Bank of Communications vs. China Mobile Limited |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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