Correlation Between Jiangsu Pacific and Shenzhen Overseas
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By analyzing existing cross correlation between Jiangsu Pacific Quartz and Shenzhen Overseas Chinese, you can compare the effects of market volatilities on Jiangsu Pacific and Shenzhen Overseas 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 Jiangsu Pacific with a short position of Shenzhen Overseas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangsu Pacific and Shenzhen Overseas.
Diversification Opportunities for Jiangsu Pacific and Shenzhen Overseas
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jiangsu and Shenzhen is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Jiangsu Pacific Quartz and Shenzhen Overseas Chinese in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Overseas Chinese and Jiangsu Pacific 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 Jiangsu Pacific Quartz are associated (or correlated) with Shenzhen Overseas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Overseas Chinese has no effect on the direction of Jiangsu Pacific i.e., Jiangsu Pacific and Shenzhen Overseas go up and down completely randomly.
Pair Corralation between Jiangsu Pacific and Shenzhen Overseas
Assuming the 90 days trading horizon Jiangsu Pacific Quartz is expected to under-perform the Shenzhen Overseas. But the stock apears to be less risky and, when comparing its historical volatility, Jiangsu Pacific Quartz is 1.38 times less risky than Shenzhen Overseas. The stock trades about -0.12 of its potential returns per unit of risk. The Shenzhen Overseas Chinese is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 291.00 in Shenzhen Overseas Chinese on September 20, 2024 and sell it today you would earn a total of 15.00 from holding Shenzhen Overseas Chinese or generate 5.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.65% |
Values | Daily Returns |
Jiangsu Pacific Quartz vs. Shenzhen Overseas Chinese
Performance |
Timeline |
Jiangsu Pacific Quartz |
Shenzhen Overseas Chinese |
Jiangsu Pacific and Shenzhen Overseas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangsu Pacific and Shenzhen Overseas
The main advantage of trading using opposite Jiangsu Pacific and Shenzhen Overseas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangsu Pacific position performs unexpectedly, Shenzhen Overseas 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 Shenzhen Overseas will offset losses from the drop in Shenzhen Overseas' long position.Jiangsu Pacific vs. Nanjing Putian Telecommunications | Jiangsu Pacific vs. Tianjin Realty Development | Jiangsu Pacific vs. Kangyue Technology Co | Jiangsu Pacific vs. Shenzhen Hifuture Electric |
Shenzhen Overseas vs. Kweichow Moutai Co | Shenzhen Overseas vs. Shenzhen Mindray Bio Medical | Shenzhen Overseas vs. Jiangsu Pacific Quartz | Shenzhen Overseas vs. G bits Network Technology |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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