Correlation Between China Securities and Suzhou Industrial
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By analyzing existing cross correlation between China Securities 800 and Suzhou Industrial Park, you can compare the effects of market volatilities on China Securities and Suzhou Industrial 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 Securities with a short position of Suzhou Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Suzhou Industrial.
Diversification Opportunities for China Securities and Suzhou Industrial
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between China and Suzhou is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Suzhou Industrial Park in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Suzhou Industrial Park and China Securities 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 Securities 800 are associated (or correlated) with Suzhou Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Suzhou Industrial Park has no effect on the direction of China Securities i.e., China Securities and Suzhou Industrial go up and down completely randomly.
Pair Corralation between China Securities and Suzhou Industrial
Assuming the 90 days trading horizon China Securities 800 is expected to under-perform the Suzhou Industrial. But the index apears to be less risky and, when comparing its historical volatility, China Securities 800 is 4.37 times less risky than Suzhou Industrial. The index trades about -0.01 of its potential returns per unit of risk. The Suzhou Industrial Park is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 928.00 in Suzhou Industrial Park on December 26, 2024 and sell it today you would lose (33.00) from holding Suzhou Industrial Park or give up 3.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. Suzhou Industrial Park
Performance |
Timeline |
China Securities and Suzhou Industrial Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Suzhou Industrial Park
Pair trading matchups for Suzhou Industrial
Pair Trading with China Securities and Suzhou Industrial
The main advantage of trading using opposite China Securities and Suzhou Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Suzhou Industrial 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 Suzhou Industrial will offset losses from the drop in Suzhou Industrial's long position.China Securities vs. Beijing Jiaman Dress | China Securities vs. Montage Technology Co | China Securities vs. Eyebright Medical Technology | China Securities vs. Anhui Huaren Health |
Suzhou Industrial vs. Ningbo Tip Rubber | Suzhou Industrial vs. Northern United Publishing | Suzhou Industrial vs. GRIPM Advanced Materials | Suzhou Industrial vs. Wankai New Materials |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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